Data_Science_MCF.csv

,Job ID,URL,Job Title,Job Type,Company Name,Job Location,Job Level,Job Industry,Min Salary,Max Salary,Salary Paid,Date Posted,Contract,Internship,Temporary,Permanent,Job Description,Job Requirements
40,b3ec16a1e373b1ff0536d40a48572089,https://www.mycareersfuture.sg/job/managing-consultant-%E2%80%93-banking-blockchain-wipro-b3ec16a1e373b1ff0536d40a48572089,Managing Consultant – Banking and Blockchain,"Permanent, Contract",WIPRO LIMITED (SINGAPORE BRANCH),31 CANTONMENT ROAD 089747,Professional,Information Technology,10000,15000,Monthly,29 Jan 2019,1,0,0,1,"The ideal candidate will have 10 - 14 years of experience in business and technology transformation consulting role or business process improvement and change management role. 6-8 years’ experience in any one of the following “focus domains” - cards and payments or wholesale (interbank) payments or treasury and cash management or trade finance domains. At least 3-5 years of experience in professional consulting firms is required. At least 1-3 years of experience in blockchain implementations in any one of the domains listed earlier is preferred. Ideal candidate will also have technical capabilities in implementation of business process management (BPM), blockchain, and associated tools/ commercial products. Responsibilities: Process optimizations - Mandatory  Engage with financial services customers and understand their current business/ operating model, leverage external industry trends and relationships to recommend future operating models and associated target state processes relevant to one of the focus domains listed above. Ability to advise and recommend on decentralization of processes using blockchain technology and impact and opportunities arising from the disruption. Develop roadmap for business/ operations/ process transformations and guide implementation of associated change management in organization/ technology. Define processes for compliance/ control/ escalations in operations, SLA/KPI’s, measurement techniques, governance procedures, etc. Depending on type of process (creative, rule based, judgement based, data intensive, labor intensive, etc.), employ various techniques such as LEAN, Six Sigma, Design Thinking and Customer Journey Mapping, Data Science, etc. to develop target state process optimizations Document process specifications in BPM tools such as ARIS, IBM BPM, etc. as needed.  Process transformation/ decentralization - Mandatory  Evaluate value chains, supply chains and ecosystems in financial services critically to assess potential for decentralization and collaboration using blockchain. Assess functional fit between specific financial services use cases and blockchain platforms and make recommendations to customers. Participate in evaluation and comparison of blockchain platforms as a functional/ domain expert. Participate in consulting engagements with financial services clients to conceive and develop blockchain proof of concepts (POC’s) and prototypes as well as roadmaps for pilots and production.  Process automation - Desirable  Depending on type of process (creative, rule based, judgement based, data intensive, labor intensive, etc.), recommend appropriate automation techniques such as robotic process automation (RPA), cognitive automation and machine learning, data science techniques, etc. Develop business cases and ROI for business process automation options. Evaluate, recommend suitable commercial products and tools for such automations. Implement proof of concepts (POC’s) and work as a part of agile implementation teams in realizing such automations.  General responsibilities - Mandatory  Lead client consulting engagements and mentor junior consultants and other technical staff in the project as needed. Interact with management and business stakeholders in analyzing current and target state processes to meet business needs. Articulate business requirements as user stories or other formats as required for agile development teams. Facilitate workshops, gather requirements from SME’s and develop deliverable documents such as business cases, process flows, business rules, knowledge representations, taxonomy/ data models, ontology/ dictionaries, etc.) Engage clients, ensure client satisfaction in consulting deliverables to gain their mind share Establish personal credibility and develop relationships with clients to be able to engage with them on future business/ operating/ technology strategies and related discussions. Leverage client relationships for support in business development pursuits ","Skills and knowledge - Mandatory  Indepth domain knowledge in one of the focus domains listed earlier. Ability to capture and define multiple aspects of business processes pursuing multiple threads in parallel – process flows, pain points, operational issues such as KPI’s, SLA’s, compliance/ controls/ governance, process transformation needs (standardization, simplification, elimination), etc. Passion for excellence in operations, processes, and systems Excellent consulting, problem solving, creative thinking, verbal and written communication skills Ability to deal with ambiguity, uncertainty and come up with alternative solutions Ability to handle multiple and often conflicting priorities Excellent client facing, people and conflict handling skills Ability to communicate with executive/ CxO level stakeholders Assume operational responsibility and accountability for consulting assignments and extended delivery teams when needed Ability and flexibility to work with onsite/ offshore execution models Hands-on usage experience in any BPM tool – ARIS, IBM BPM, etc. Strong computer skills; proficiency in Microsoft applications (MS Visio, Advanced MS Excel – including macros, logic functions, solver, etc., MS PowerPoint) and comfort with learning and using new software tools  Skills and knowledge - Desirable  Hands-on usage experience in any RPA tool – Automation Anywhere, Blue Prism, Workfusion, OpenSpan, UIPath, etc. Hands-on usage experience with any blockchain platform – R3 Corda, Hyperledger, Ripple, Stellar, Digital Asset Holdings, etc. Conceptual or hands-on usage experience in open source or proprietary cognitive/ machine learning algorithms and techniques Conceptual or hands-on usage experience in any one of data science tools such as taxonomy, data modeling, graph theory, geometry, greedy algorithms, recursion, statistical models, mathematical models, dynamic programming, machine learning/ AI, simulations, search/ sort, simple data ETL (extract/ transform/ load), etc.  Qualifications and other requirements  4-year college degree in financial/ engineering/ related disciplines, MBA Preferred Must be willing to travel up to 100% Lean Six Sigma certification preferred Design thinking certification preferred "
41,a646a16d5c923f11703ef9edf42f5613,https://www.mycareersfuture.sg/job/software-consultant-apar-innosys-a646a16d5c923f11703ef9edf42f5613,Software Consultant,Contract,APAR INNOSYS PTE. LTD.,"SGX CENTRE II, 4 SHENTON WAY 068807",Executive,Information Technology,6000,9000,Monthly,29 Jan 2019,1,0,0,0," We are looking for highly motivated Individual who will work with various members of Data Intelligence & Science team to address challenging data science problems by leveraging techniques in statistics, machine learning or/and data mining. "," Masters/Bachelor degree in Statistics/Applied Math/Operational Research/Computer Science or related field 5+ experience of working experience in software or related industry 2+ experience as data scientist working on various data science projects. Experienced in developing machine learning models for real-world problems using R, python or other languages Experience in Deep Learning and AI related project a huge plus Familiar with big data technologies like Hadoop, Hive, Pig and Spark Able to conceptualize prototypes and evolve them to full fledge solutions Able to articulate the findings and work in a team environment "
42,738c09eb434ca3d59c83747d340a9b2c,https://www.mycareersfuture.sg/job/data-analyst-kimberley-consulting-738c09eb434ca3d59c83747d340a9b2c,Data Analyst,Permanent,KIMBERLEY CONSULTING PTE. LTD.,55 MARKET STREET 048941,Executive,Information Technology,,,,29 Jan 2019,0,0,0,1," Large commodities company Marina Bay    Responsibilities:  Use statistical methods to analyze data and generate useful business insights Dig through and analyze data in company’s databases, public websites, social media etc to gather useful insights and present them to stakeholders Preprocess structured/unstructured data and provide cleansed data for building analytic models Understand business requirements and convert into use-cases for data science Working closely with data scientist in providing data needs as well as communicating the modeling results to business Working closely with data engineers in communicating business requirements and supporting in data procurement needs ","Requirements:  Minimum Bachelor’s Degree in Mathematics/Computer Engineering Preferably 1-2 years’ experience in data-mining, Python and/or R programming, and analytical skills Ability to collaborate effectively and work as part of a team Strong experience in performing Exploratory Data Analytics using Statistical tool such as Excel, or programming languages like R, Python Good to have experience in working on various big data tools such as hive, spark, sqoop etc, and with MySQL and NoSQL databases Excellent communication and engagement skills, so as to be able to explain ideas clearly regardless of the audience Experience in working on Text analytics projects    Interested applicants, please email a copy of your latest resume. Kimberley Consulting Reg No: 10C5555 Hoe ChangBang EA License: R1435209"
43,01d34466c8b2eca276f4b11017730128,https://www.mycareersfuture.sg/job/manager-future-work-deloitte-consulting-01d34466c8b2eca276f4b11017730128,Manager - Future of Work (Data Science),Permanent,DELOITTE CONSULTING PTE. LTD.,"OUE DOWNTOWN, 6 SHENTON WAY 068809",Manager,Consulting ,7000,14000,Monthly,28 Jan 2019,0,0,0,1,"What impact will you make? At Deloitte, we offer a unique and exceptional career experience to inspire and empower talents like you to make an impact that matters for our clients, people and society. Whatever your aspirations, Deloitte offers you unrivalled opportunities to realise your full potential. We are always looking for people with the relentless energy to push themselves further, and to find new avenues and unique ways to reach our shared goals. The Future of Work, Centre of Excellence is driven by accelerating connectivity, new talent models, cognitive tools and changing work.  As robotics, AI, the gig economy and crowds grow, jobs are being reinvented, creating the “augmented workforce.” We must reconsider how jobs are designed and work to adapt and learn for future growth. The Future of Work Team helps to accelerate and facilitate the change through our holistic program, methodology and solution portfolio. So what are you waiting for? Join the winning team now. Work you will do Data Science Manager  As a Manager in our Consulting team you will build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You will:  Lead a team that is responsible for fast paced solution development at the intersection of data science, technology and human capital. Possess a unique blend of business and technical skills, a big-picture vision, and the ability to influence others to make that vision a reality. Work closely with global stakeholders across the Firm to coordinate the design, development and implementation of Future of Work solutions. Act as an SME on data science and analytics, across solution development, sales support and business development.  In leading teams to deliver impact to clients through developing Future of Work solutions, you will:  Employ a business-oriented mindset and use data-driven solutions to drive transformation agenda and achieve sustainable business outcomes Leverage expertise in your data science domain to design, develop and implement Future of Work solutions that enable clients to drive the strategic agenda Develop innovative Future of Work solutions that address the opportunities and threats related to end-user adoption  Your role as a leader At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves every day to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Managers across our Firm are expected to:  Understand the goals of our clients and Deloitte and align our people to these objectives, setting clear priorities and direction. Influence clients, teams, and individuals positively. Leading by example and establishing confident relationships with senior stakeholders. Deliver exceptional client service. Maximize results and drive high performance from people while fostering collaboration across businesses and geographies. Develop high-performing teams that challenge the status quo. Create meaningful opportunities for and recognise team members for the impact that they make. "," MS or higher in computer science, statistics, mathematics or other data science related quantitative fields. Demonstrated experience using statistical computer languages such as R, Python to manipulate data and draw insights from larger data sets. Experience in querying databases such as MySQL, SQL server etc Knowledgeable in data mining techniques (clustering, decision trees, neural net, text mining etc). Knowledgeable in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, categorization, customer segmentation etc). Demonstrated experience using statistical tools such as SPSS statistics, SPSS modeler. Demonstrated experience using data visualization tools such as Qlikview, Tableau. Demonstrated experience deriving data driven insights across complex data sets Demonstrated experience in managing projects in the ASEAN region. Demonstrated experience in managing projects within the Human Capital domain. Demonstrated experience leading cross-functional teams across the ASEAN region and beyond (ideally, experience working in global teams). Attention to detail and ability to manage large complex projects in a fast-paced environment. Exceptional stakeholder engagement and project management skills. Ability to drive business outcomes and work autonomously within a cross-functional team. Must bring a future ready mindset and passion to be a part of helping individuals, business and government navigate the Future of Work.  Positions may be based in Singapore but project locations could be anywhere in the Asia-Pacific Region.  Due to volume of applications, we regret only shortlisted candidates will be notified. "
44,5731c18be188d7d1f80a840a834ad207,https://www.mycareersfuture.sg/job/data-scientist-singapore-power-5731c18be188d7d1f80a840a834ad207,Data Scientist,Full Time,SINGAPORE POWER LIMITED,"SP GROUP BUILDING, 2 KALLANG SECTOR 349277",Professional,Information Technology,4000,8000,Monthly,28 Jan 2019,0,0,0,0,"Why Work for Us We Power the Nation.  Make the most of your talents and develop products that can create impact on a national scale. We are an in-house software team, assembled to move with speed and deliver with quality.   We Build Reliable Solutions. For Customers, Company and Country.  You will be part of the Digital Technology Team and together, you will innovate, create, and deploy digital products that will empower more than 3,800 employees within SP Group and improve the quality of life for the 1.5 million commercial, industrial and residential customers that SP Group serves. We build solutions that enable sustainable high quality lifestyles and help consumers save energy and cost, as well as supporting national goals for a sustainable livable city. Now, imagine the impact you can create.   SP Digital Technology aims to use cutting edge technologies to help SP Group to revolutionize future utility/energy industry by providing better services and more efficient energy solutions to our customers. Data charter consists of data engineering, business intelligence, data science/machine learning teams. We oversee and drive all data and AI initiatives for SP group. It includes the following  Build next generation data infrastructure to collect/process/analyze different data from consumers, assets, energy Discover the business problems/opportunities and design data-driven solutions to improve operation/business/customer experience Uncover the actionable insights for multiple stakeholders to drive business growth    The mission of data team is to drive SP to become data-driven company and create data-driven products. As a data team member, you will be responsible for designing, developing and deploying data-driven solutions to create business value. We are looking for a Data Scientist who will help us discover patterns hidden in large amounts of data and make decisions from different sources. Your primary focus will be in applying data wrangling and machine learning techniques to build high quality anomaly detection, prediction and recommendation systems integrated with our products. You will work closely with customers and data engineers to understand the business requirements, in-house infrastructure and help build solutions for different business users.   What You'll Do  Understand business logics from domain experts and come up with reasonable targets for data projects Data fetching from different sources such as database, big data lake running on hadoop/hive Enhancing data by building autonomous pipelines from different sources Data wrangling by preprocessing, cleansing, and feature engineering Applying state-of-art machine learning techniques such as RNN, CNN for predictions and anomaly detections Build agile data products in a team of data engineers, scientists and business users Doing ad-hoc analysis and presenting results in clear manner Guide junior team members on their projects Help find opportunities from different business partners ","What You'll Need We are looking for Passion and Proficiency  Data-oriented personality and software engineering practices Excellent understanding of machine learning models, their pros and cons Experience with common data science toolkits such as Python/R Experience with data visualization tools such as D3.js, matplotlib and etc Proficiency in using query languages such as SQL, Hive Good understanding of statistics, such as distributions, A/B testing, model overfitting/underfitting Experience with one of deep learning libraries such as Tensorflow, Keras, Pytorch, CNTK, MXNet etc Master of Computer Science/Engineering, Applied Mathematics or other engineering related area "
45,b8f943fb05cb5ef1ec504e530dc425f3,https://www.mycareersfuture.sg/job/senior-data-scientist-singapore-power-b8f943fb05cb5ef1ec504e530dc425f3,Senior Data Scientist,Full Time,SINGAPORE POWER LIMITED,"SP GROUP BUILDING, 2 KALLANG SECTOR 349277",Middle Management,Information Technology,8000,14000,Monthly,28 Jan 2019,0,0,0,0,"Why Work for Us We Power the Nation.  Make the most of your talents and develop products that can create impact on a national scale. We are an in-house software team, assembled to move with speed and deliver with quality.   We Build Reliable Solutions. For Customers, Company and Country.  You will be part of the Digital Technology Team and together, you will innovate, create, and deploy digital products that will empower more than 3,800 employees within SP Group and improve the quality of life for the 1.5 million commercial, industrial and residential customers that SP Group serves. We build solutions that enable sustainable high quality lifestyles and help consumers save energy and cost, as well as supporting national goals for a sustainable livable city. Now, imagine the impact you can create.   SP Digital Technology aims to use cutting edge technologies to help SP Group to revolutionize future utility/energy industry by providing better services and more efficient energy solutions to our customers. Data charter consists of data engineering, business intelligence, data science/machine learning teams. We oversee and drive all data and AI initiatives for SP group. It includes the following  Build next generation data infrastructure to collect/process/analyze different data from consumers, assets, energy Discover the business problems/opportunities and design data-driven solutions to improve operation/business/customer experience Uncover the actionable insights for multiple stakeholders to drive business growth    The mission of data team is to drive SP to become data-driven company and create data-driven products. As a data team member, you will be responsible for designing, developing and deploying data-driven solutions to create business value. We are looking for a Data Scientist who will help us discover patterns hidden in large amounts of data and make decisions from different sources. Your primary focus will be in applying data wrangling and machine learning techniques to build high quality anomaly detection, prediction and recommendation systems integrated with our products. You will work closely with customers and data engineers to understand the business requirements, in-house infrastructure and help build solutions for different business users.   What You'll Do  Understand business logics from domain experts and come up with reasonable targets for data projects Data fetching from different sources such as database, big data lake running on hadoop/hive Enhancing data by building autonomous pipelines from different sources Data wrangling by preprocessing, cleansing, and feature engineering Applying state-of-art machine learning techniques such as RNN, CNN for predictions and anomaly detections Build agile data products in a team of data engineers, scientists and business users Doing ad-hoc analysis and presenting results in clear manner Guide junior team members on their projects Help find opportunities from different business partners ","What You'll Need We are looking for Passion and Proficiency  Data-oriented personality and software engineering practices Excellent understanding of machine learning models, their pros and cons Experience with common data science toolkits such as Python/R Experience with data visualization tools such as D3.js, matplotlib and etc Proficiency in using query languages such as SQL, Hive Good understanding of statistics, such as distributions, A/B testing, model overfitting/underfitting Experience with one of deep learning libraries such as Tensorflow, Keras, Pytorch, CNTK, MXNet etc Master or PhD of Computer Science/Engineering, Applied Mathematics or other engineering related area "
46,fba95c7774cb8a6e2651a35483eb8569,https://www.mycareersfuture.sg/job/lead-consultant-ncs-fba95c7774cb8a6e2651a35483eb8569,Lead consultant,Permanent,NCS PTE. LTD.,"NCS HUB, 5 ANG MO KIO STREET 62 569141",Professional,Information Technology,7000,10000,Monthly,28 Jan 2019,0,0,0,1," Development of data architecture, strategy and governance to support business, application, security and technology strategic analysis and decision making   Assessment of current and target states of the data architecture to align with strategic or tactical objectives and to develop recommendations to close the gaps   Integrate cloud and on premise data warehouses and data lakes with metadata management, for powerful data-driven solutions   Provides consultancy to clients in areas of data governance to improve quality and control in the management and usage of data. Helps help defines standards, processes and adopts best practices in data management.  Presents roadmaps and architecture landscapes to senior stakeholders to fulfill the organization’s data science, cognitive, analytics and reporting requirements   Evaluation of data related technologies, and defining best practices in the assessments of standards, tools and methodologies including ETL development, to perform hands on data analysis   Create innovations in both analytic algorithms and methodologies with business impact. Responsible for the end-to-end process of analytical solutioning, involving conceptualization and business engagement   Ensures data quality and performs data cleansing to ensure a single source of truth, to enable data as a service for business units and front-end applications to consume   Perform quality review of data modeling design and deliverable, leading work sessions and deliverable presentations with business stakeholders   Manage architecture and technology governance committee agenda to ensure data, security and technology requirements aligned to enterprise standards and policies "," Bachelors or Master’s Degree in Computer Science, Information Technology, or equivalent At least 5 years design & development experience in enterprise data warehousing and analytics projects Expert in Oracle, MSSQL, MYSQL database technologies Best practices using data solutions using Hadoop, Cloudera, Spark, Kafka, MongoDB, NoSQL, Cassandra, Graph, etc Familiar with Tableau, Microstrategy, Qlikview, Informatica, Hortonworks, Talend, Hive and HBase   Understands machine learning, statistics, natural language processing, sentiment analysis, graph analysis, augmented and virtual reality   Proficient in handling complex technical development concepts, latest software tools and technologies, strong database concepts and designing techniques   Excellent in working effectively in a multi-tasking environment, ability to prioritize competing tasks   Fluency and efficiency in creating technical architecture documentation, presentations and stakeholder pitches   TOGAF or other industry recognized architecture certifications preferred "
47,09c037328fd2d76b67d47d6a0c1f90cc,https://www.mycareersfuture.sg/job/head-data-engineering-fixed-mobile-09c037328fd2d76b67d47d6a0c1f90cc,Head of Data Engineering,"Permanent, Full Time",FIXED & MOBILE PTE. LTD.,"ANSON HOUSE, 72 ANSON ROAD 079911",Senior Management,Information Technology,8000,11000,Monthly,28 Jan 2019,0,0,0,1,"TransferTo operates a leading global digital value services network offering safe, reliable and more accessible mobile value services for emerging markets. Our B2B cross-border network interconnects and provides mobile operators, money transfer operators, retailers, distributors, NGOs and corporates with unparalleled infrastructure and reach to offer solutions that better connect loved ones across borders.   A career with TransferTo provides invaluable experience in an exciting and rapidly expanding market and an opportunity to be part of a truly global company with 7 offices worldwide and a workforce that includes over 50 different nationalities.   The Engineering team is responsible for maintaining, building and expanding the core platform of TransferTo in a highly available environment, processing millions of transactions per month. Ensuring scalability, redundancy, security and performance at the same time while enabling multiple external and internal services and APIs to communicate together is one of the key challenges of our team. Connected to hundreds of partners all over the world via various APIs and protocols our platform is unique and delivers the best-in-class product to our customers.   We are seeking an energetic and passionate Head of Data Engineering to help build the robust foundations that will support current and future data-intensive computations across the company. You will be working closely with the Infrastructure, Software Development, Product, Business Intelligence and Data Science teams to provide insight and expertise. You will have the opportunity to shape our data stack, ensuring that our ever-flowing data is adequately collected, organized and made accessible for advanced analytics and beyond.   Key Role Responsibilities  Define our data engineering and data processing strategy to serve business needs Conceive, develop, monitor and optimize reliable data pipelines that convert data into insights Understand the bigger picture when it comes to data processing and use cases across the company Build a reliable, scalable and efficient cloud-based data processing platform and applications to support the different needs Play a central role in delivering our next generation real-time, big data platform Be involved in whole data platform development process including infra, data ETL and service implementation Participate in the design, discussions and technology choices of the on-going major developments with the other teams ","Essential Experience  More than 5 years of experience in data engineering and people management Advanced knowledge of real-time data streams, ETL processes and how to clean, structure and manage sensitive data effectively Strong development skills in some of the following languages: R, Python, Hive, Pig, Mahout, Java, ... Working knowledge of big data concepts like Hadoop, Spark, MapReduce, and HDFS Deep understanding of both SQL and NoSQL data stores Familiar with data tools and services in Azure, AWS, and/or GCP eco-system is preferred Familiar with data management and visualization tools such as Tableau Knowledge of Amazon AWS services and their applications (RDS, Redshift, S3, EC2, ...) Knowledge in RESTful API development Knowledge in CI tools like Jenkins Knowledge in QA processes and automation Coursework in machine learning, data science, data mining, big data, and/or statistical inference is a plus Comfortable with GIT version control Excellent written and verbal communication skills in English A DevOps attitude - you build it, run it & maintain it The ability to execute independently Enjoy learning and adopting new technologies to push the team forward Thrilled to find creative solutions for the challenges you face Finally, wanting to have responsibilities that make a significant contribution and impact on the company "
48,ab98de328007a20fc1f5ad9a4cd3e160,https://www.mycareersfuture.sg/job/data-engineer-jewel-paymentech-ab98de328007a20fc1f5ad9a4cd3e160,Data Engineer,"Permanent, Full Time",JEWEL PAYMENTECH PTE. LTD.,,Professional,Information Technology,4000,8000,Monthly,28 Jan 2019,0,0,0,1,"As a Data Engineer you will get to work on a wide range of problems using the cutting-edge technologies in Big Data and Data Science. You are required to translate Data Science and Machine learning based solutions into scalable code, and to develop innovative solutions to collect/cleanse/store/process data. In case you are very passionate about building high throughput, low latency, fault tolerant software then this position is for you. To be successful in this role, you will need to:  Analyze requirements and deliver solutions that meet requirements. Write code by using best software development practices. Produce code that meets security standards. Estimate timelines and deliver solutions within agreed timeline. Write clear & concise documentation for solutions/code. Contribute ideas within team to build better code. Continuously improve knowledge on new technologies. Excellent in English, both written and spoken. "," B.Sc., Masters, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.). Knowledge in the use and application of Python to develop complex software. General machine learning techniques and technologies (e.g., Bayesian classifiers, regression techniques, graphical models, working with unbalanced data-sets) as well as applications (e.g., predictive analytics). NoSQL Database Programming/Development. Manipulation of various types of data; data cleaning, filtering, and pre-processing for example with text/images. Knowledge and experience in the use of cloud computing platforms (AWS/Azure/GCP/etc). SQL familiarity and database technologies (e.g., row versus column stores, in-memory DB, DB clustering, HA for DB). Familiarity and experience with Linux environments. Understanding batch (e.g., Apache Hadoop / Map Reduce) and stream processing approaches / frameworks (e.g., Apache Spark).    You’re a perfect fit us if you are  A master problem solver, and able to use own initiative to develop suitable solutions. A strong communicator with the ability to convey information to others in a simple and unambiguous way. An innovative, original thinker approach to job responsibilities, methods and processes. An energetic person who can be trusted to get a job done. "
49,0c31118575b148585768bf8d35865efc,https://www.mycareersfuture.sg/job/manager-senior-manager-compliance-strategy-analytics-work-pass-division-ministry-manpower-0c31118575b148585768bf8d35865efc,"Manager /  Senior Manager, Compliance Strategy & Analytics, Work Pass Division (1 year contract)",Full Time,Ministry of Manpower,18 HAVELOCK ROAD 059764,Unknown,Public / Civil Service,,,,28 Jan 2019,0,0,0,0,"The job holder is responsible for using analytics to detect abuses and fraud within the work pass framework and to formulate strategies to deter abuses and prevent fraudulent applications.
 
Responsibilities

Extract and manipulate large data sets using scripting languages like R, Python or standard tools.
Apply statistical and machine learning techniques on large datasets to develop a model to detect risks and vulnerabilities in the work pass framework.
Conceptualise and implement measures and processes to strengthen detection of fraudulent work pass applications and employers, and propose interventions to close loopholes and gaps. 
Collaborate with work pass processing/enforcement teams to gather insights on emerging trends and validate the insights from the model, to ensure that the model is precise and robust.
Make use of visualisation software (e.g. Tableau) to present the data and insights gathered.
Collaborate with other data science units in MOM, GovTech to improve the robustness and precision of the model.
Actively conduct technology scans to look out for evolving statistical and machine learning techniques to improve the effectiveness of the model.
Provide technical inputs to integrate data analytics into enterprise systems.

 
Requirements

Possess tertiary qualification in Computer Science, Applied Mathematics, Statistics, Engineering, Econometric, Operations Research, or related disciplines
Possess strong analytical and problem-solving skills
Have good communication (written and spoken) and interpersonal skills
Be a good team player with a customer-focused mindset
Be able to work independently and adapt to complex changes
",None
50,6bde86d3501870c8e0ba0af62430f2b4,https://www.mycareersfuture.sg/job/software-consultant-charterhouse-6bde86d3501870c8e0ba0af62430f2b4,Software Consultant,Contract,CHARTERHOUSE PTE. LTD.,"BANK OF CHINA BUILDING, 4 BATTERY ROAD 049908",Executive,Information Technology,6000,9000,Monthly,28 Jan 2019,1,0,0,0," We are looking for highly motivated Individual who will work with various members of Data Intelligence & Science team to address challenging data science problems by leveraging techniques in statistics, machine learning or/and data mining. "," Masters/Bachelor degree in Statistics/Applied Math/Operational Research/Computer Science or related field 5+ experience of working experience in software or related industry 2+ experience as data scientist working on various data science projects. Experienced in developing machine learning models for real-world problems using R, python or other languages Experience in Deep Learning and AI related project a huge plus Familiar with big data technologies like Hadoop, Hive, Pig and Spark Able to conceptualize prototypes and evolve them to full fledge solutions  Able to articulate the findings and work in a team environment EA License no.: 13C6338 I Reg no.: R1110355"
51,4b5f0b9ca4e8ecd00e941ed4eebbf9a0,https://www.mycareersfuture.sg/job/data-analyst-propertyguru-4b5f0b9ca4e8ecd00e941ed4eebbf9a0,Data Analyst,"Permanent, Full Time",PROPERTYGURU PTE. LTD.,"TRIPLEONE SOMERSET, 111 SOMERSET ROAD 238164","Fresh/entry level, Professional","Engineering, Information Technology",4000,5200,Monthly,28 Jan 2019,0,0,0,1,"PropertyGuru Group is Asia’s leading online property company and the preferred destination for over 25 million property seekers to find their dream home, every month.  PropertyGuru and its group companies empower the property seekers with the widest option of more than 2 million homes, in-depth insights and solutions that enable them to make confident property decision across Singapore, Malaysia, Thailand, Indonesia and Vietnam. PropertyGuru.com.sg was launched in 2007 and revolutionised the Singapore property market by taking it online and made property search transparent for the property seeker. Over the decade, the group has grown from a regional property media powerhouse to a high-growth technology company with a robust portfolio of No.1 property portals, award-winning mobile apps; best-in-class developer sales enablement platform, ePropertyTrack and a host of industry-leading property offerings such as awards, events and publications – across eleven countries in Asia.   For more information, please visit www.PropertyGuruGroup.com Our websites attract more than 100 million monthly page-views which result in non-stop massive click-stream for behaviour data with around 130 million users. As a result, PropertyGuru has the most comprehensive data for property supply and demand in Southeast Asia. Our Data Science team is empowered to build unique and compelling user experiences using machine learning and data. The work done by our Data Analysts are highly sought after as the business sees the Data Analysts as partners in their journey who drive and create tremendous impact to the business. Responsibilities:  Influence business by creatively exploring the data to inform the business Translate the user at scale and help drive the decision making Translate complex findings and results into a compelling narrative for the business Partner with business stakeholders to define and evaluate the key metrics for the business’ success and progress e.g. assist stakeholders in understanding the reason behind data changes Investigate questions around user experiments and help understand the reasons Communicate analyses and recommendations to the business stakeholders for their decision making Ensure that the analyses are repeatable and accessible "," Bachelor’s degree in IT or relevant field. Alternatively, lesser qualifications with strong experience in machine learning will also be considered Minimum 2+ years of industry experience in working with terabyte scale datasets. 4+ years preferred. Communicate clearly and effectively to cross functional business partners of varying technical levels Build clear and simple Tableau dashboards and presentations Working knowledge of relational databases (BigQuery, Redshift, MySQL) and query authoring (SQL) Experience working with Google Analytics is a plus Experience in Python, R, C++, Java, Go, Scala is a plus "
52,702973c3a33b2b7a251a49cc10a66b8b,https://www.mycareersfuture.sg/job/senior-data-scientist-lynx-analytics-702973c3a33b2b7a251a49cc10a66b8b,Senior Data Scientist,Full Time,LYNX ANALYTICS PTE. LTD.,"PRUDENTIAL TOWER, 30 CECIL STREET 049712",Senior Executive,Information Technology,7000,9500,Monthly,28 Jan 2019,0,0,0,0,"Reporting to the CIO, this role in an integral part of the Data Science team. We are looking for experienced Data Scientists to work on and lead complex data analysis projects using standard modelling and data transformation approaches as well as Lynx's proprietary graph analysis system. You should be comfortable working with very large data sets residing in different data stores in disparate formats. The role requires the candidate to be strong with hands-on implementation as well have the potential to move fast onto a high growth career trajectory.   ","Requirements    ● Industry experience in data mining and/or data science   ● University degree in a technical field (Mathematics, Statistics, Economics, Computer Science or Engineering) ● Strong probability theory and statistics knowledge   ● Knowledge of some statistical tools.   ● Ability to write programs in some programming language (e.g. R/Python) - software engineer skills to design    and implement complex software systems is NOT needed, but  the candidate is expected to be able to write simple code to prototype and test analytical ideas   ● Good problem-solving skills  ● Knowledge of RDBMS systems (Oracle, Teradata, MySQL etc.)  ● Excellent verbal and written communication skills   ● Some leadership experiences   ● Fluency in English   ● Willingness to travel - Up to 50% travel across the region will be required  Desirable:     ● Experience in Big Data  ● Experience in data science or analytics       What we offer:   ● Opportunity to work on creating innovative, bleeding edge data science pipelines using  our state of the art, in-house built big graph tool ● Work closely with the developers of the (big graph) tool you will be building upon  ● Be a member of a very strong team with mathematicians, ex-Googlers, Ivy League  professors, INSEAD alumni business people and telco industry experts ● Startup atmosphere  ● Competitive salary  ● Stock options for employees  ● Opportunity to travel (South East Asia, US, Europe, ...)  ● Flexible working hours, family-friendly workplace "
53,1801998abb817910b9acb022c3b636dc,https://www.mycareersfuture.sg/job/data-scientist-spotify-singapore-1801998abb817910b9acb022c3b636dc,Data Scientist,Permanent,SPOTIFY SINGAPORE PTE. LTD.,"MARINA BAY FINANCIAL CENTRE, 8 MARINA BOULEVARD 018981",Executive,Others,90000,110000,Annually,28 Jan 2019,0,0,0,1,"We seek an outstanding Data Scientist to join our Markets Research team in Singapore.  This individual will be responsible for partnering with local business operations teams to drive strategic decision-making across the globe. You will study user behaviour, market dynamics, and content strategies, providing data and insights that will influence strategic direction. Above all, you will be at the nexus of data science and business at one of the most innovative companies in the world. In addition to possessing strong technical background of his/her own, the ideal candidate will be a natural communicator who is able to explain complex statistical frameworks to non-technical stakeholders all over the world. Accompanying this broad set of responsibilities is exposure to many departments, as well as senior management, at Spotify. What you'll do  Productize day-to-day analytics and insights support for Spotify’s Markets Operations team Develop a robust body of knowledge around each of Spotify’s key markets to proactively address business questions and drive strategy Work closely with cross-functional teams of analysts, product owners, marketers, designers, and others across the company who are responsible for driving results in local markets Support Markets leadership with research on key business initiatives and challenges ","Who you are  Degree in Computer Science/Engineering, Mathematics, Statistics, Economics, or another quantitative field 3-5 years of experience, preferably at at least one company with a matrix organisational structure Excellent communication and stakeholder management skills Extensive experience manipulating and analysing complex data with SQL, Python and/or R. Knowledge of Google BigQuery and Java/Scala is a plus Familiarity with big data processing frameworks like Hadoop or Spark is a plus Ability to converse in two or more languages is a plus Comfort in operating independently in a fast-paced work environment   "
54,f7a349b15079f2ffbc25872bd09570f4,https://www.mycareersfuture.sg/job/data-scientist-standard-chartered-bank-f7a349b15079f2ffbc25872bd09570f4,Data Scientist,Full Time,STANDARD CHARTERED BANK,"MARINA BAY FINANCIAL CENTRE, 8 MARINA BOULEVARD 018981","Manager, Senior Executive",Banking and Finance,12500,15000,Monthly,28 Jan 2019,0,0,0,0,"About Standard Chartered  We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.   To us, good performance is about much more than turning a profit.  It's about showing how you embody our valued behaviours - do the right thing, better together and never settle - as well as our brand promise, Here for good.  We're committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to provide better support to our broad client base. The Role Responsibilities Work on various data science and machine learning projects and POC in the Financial Markets space: Identify the AI use cases with the FM business; Help the FM business to prioritize the use cases; Select the best AI techniques and train the model, based on the business use cases; Deploy the successful training solution to production environment; Serve as an internal consultant to advise the leadership team on the AI roadmap/strategy and drive the AI adoption in FM.   Be a key member of the agile scrum team that is fast paced in delivering business value: Multi-disciplinary and take ownership of technology deliveries from high level requirement through development, testing and deployment; Hold user workshops, conceptualize and analyze the user requirements, translate the user requirements into detailed, unambiguous, business and functional requirements or user stories; Be responsible for sourcing the relevant data from different parts of the bank and its analysis; Work closely with business sponsors, project and programme managers to ensure all stakeholders are fully engaged and expectations managed. Delivery focused, committing to specific tasks and ensuring these and the overall projects deadlines are met.","Our Ideal Candidate - Deep understanding in both traditional and modern machine learning approaches; - Hands-on experience with graph network and neural networks; - Hands-on experience in working with large amount and heavily unbalanced data sets; - Working experience or study experience in Financial markets products, as well as front office booking and risk systems; - Experience in anomaly detection is preferred but not required; - Ability and experience to take ownership of business requirements and manage them through to delivery; - Knowledge of testing approaches and techniques; - Ability to accurately translate and document business needs into functional requirements or user stories and produce quality documentation; - Have experience or be comfortable with working in an agile environment; - Ability to work proactively, independently and display strong initiative; - Proven ability to work across business streams, exposure to front to back system implementations; - Excellent and demonstrable Stakeholder Management skills; - Good communication skills in both written and oral English. How to Apply Please visit - https://scb.taleo.net/careersection/ex/jobdetail.ftl?job=1900001716&lang=en  to apply now and take the next step in fulfilling your potential. You can search and view current opportunities across our global organisation and apply immediately by visiting www.standardchartered.com. To help speed up your application, please note the following:  You will need to log in (or register if you are visiting our careers site for the first time) before you can apply for a specific role Some roles may require you to undertake an online talent assessment in addition to completing the application form (to facilitate this process it is preferable that you provide us with an email address as part of your contact information) We will ask you about your education, career history and skills and experience, it may be helpful to have this information at hand when completing your application  It usually takes 15 - 20 minutes to complete the application form; you can save your application at any time and return to complete it at your convenience. Diversity & Inclusion Standard Chartered is committed to diversity and inclusion. We believe that a work environment which embraces diversity will enable us to get the best out of the broadest spectrum of people to sustain strong business performance and competitive advantage. By building an inclusive culture, each employee can develop a sense of belonging, and have the opportunity to maximise their personal potential."
55,885e0926619869d100a6801189527098,https://www.mycareersfuture.sg/job/head-data-science-analytics-director-885e0926619869d100a6801189527098,Head of Data Science - Analytics Director,Full Time,Company Undisclosed,137 TELOK AYER STREET 068602,Middle Management,Others,9000,14000,Monthly,28 Jan 2019,0,0,0,0,"About GoBear We thought you might like to know GoBear is Asia’s first and only metasearch engine for financial products. We spend our days trying to figure out how to make comparing insurance and banking products as awesome as possible. Our happy place is where users don’t even have to think twice – they can choose a financial product that’s right for them and feel confident with their choice (we know that’s a nerdy happy place, but we can’t help what we love). We’re looking for people who break the mould; who’ve got a hankering to do something completely different. Obviously we want our bears to be smart and hardworking but, more importantly, we want people on our team who love technology, who love their job, and who aren’t afraid to fail while trying something completely crazy.   The Job Reporting directly to the Chief Finance Officer, the Analytics Director will be spear-heading the identification of optimal research and analysis methodologies to be used to provide key findings that will address a broad range of complex business questions. The successful candidate will also provide technical leadership to data scientists, data analysts and business stakeholders to define data requirements, perform gap analysis, source and transform data to support exploratory data analysis, and design models.   Responsibilities              Lead on providing end-to-end solutions that can turn complex and large volumes of data into 'intelligent data' that can answer critical business questions Lead a team of data science engineers and analysts to deploy analytical solutions for the business Collaborate with C-level to plan and implement analytics projects Craft a data strategy and continuously enhance the analytics platform leveraging tools on the Google Cloud Platform Plan, implement, and track long-term and short-term data projects Research and development of new technology that can support our product and company strategy Follow the data governance, management and ownership frameworks as set by the product team Perform data management, visualization and business analytic research to identify patterns of use Actively participate in the high-end analytics product development for business transformation ","Requirements  This fast growing, dynamic start-up needs a hands on Analytics Director with most of (preferably all!) skills and qualifications:  Master’s degree in Computer Science, Statistics, Engineering, Mathematics or Physics. Ph.D. would be highly preferred 7-10 years of relevant work experience in Data Science. 2-3 years of experience in Data Engineering will be an advantage 2-3 years of experience in leading/mentoring data scientists/analysts Hands on experience in programming with Python and R Hands on experience in Machine Learning, Mathematical and Statistical Modelling, Data Reporting and Visualization techniques Hands on experience in tools such as Apache Kafka, Apache Beam, Apache Airflow, Apache Spark and TensorFlow Experience with No-SQL databases Experience in image processing will be an advantage Familiarity with Google Cloud Platform will be an advantage Project Management experience in big data: managing initiatives from planning, development to implementation will be an advantage Excellent in oral and written communication in English, as well as effective interpersonal skills    Does this sound like you?  You have the ability to drive and implement insights in a challenging environment You are highly analytical & organized   You are a collaborator, able to partner with C-level & Country Directors You are able to build and manage a team    What we offer Look forward to a pleasant, vibrant work environment in one of the fastest growing online brands in Asia. You will be learning from a multi-cultural team of passionate professionals who are eager to disrupt the FinTech space. Our work makes us innovative, agile, brave and result-driven but we also just love what we do. Openness and transparency form the core value of our company culture. We value freedom and high performance rather. We like it when you show curiosity for new ideas that create a difference and discover practical solutions to tough problems."
56,d811457c351ebac1d6c04c22a4681965,https://www.mycareersfuture.sg/job/mct-big-data-senior-engineer-d811457c351ebac1d6c04c22a4681965,MCT Big Data Senior Engineer,"Permanent, Full Time",Company Undisclosed,,Non-executive,"Engineering, Manufacturing",5000,10000,Monthly,28 Jan 2019,0,0,0,1,"Do you have a broad theoretical and practical understanding of data engineering and data science? Can you wrangle large scale multidimensional data effectively? Are you always curious to learn something new? Do you love to solve engineering puzzles and optimize complex systems? Can you translate an idea in to an algorithm and make it into a product with quality and scalability in mind? Are you looking for window to the world ?   If so, you may be a great candidate for an Manufacturing Central Team (MCT) Data Engineer position at company, a global, Fortune 500 leader in the semiconductor industry. This position will be based in Singapore.   As an MCT Data Engineer at company, you will:   * Work with an international team of data scientists, data engineers, software engineers, process and equipment engineers, process integration engineers, yield enhancement engineers, R&D, etc. in a collaborative manner to develop new data science solutions that improve quality, improve yield, reduce deviations, improve manufacturing cycle time, reduce cost, extend manufacturing capabilities, etc. * Draw from a broad background of data-mining techniques in mathematics, statistics, information technology, machine learning, data engineering, design of experiments (DOE), visualization, etc. to discover insightful patterns in semiconductor manufacturing data * Work on projects and develop solutions that would be of high impact to various areas at all manufacturing fabs * Deliver polished presentations of data acquisition, data flow, data preparation and data presentation layer to internal customers and leaders to inform business strategy, streamline operations, and execute to revenue goals * In short, be a full-stack data engineer who can take an idea, access and prepare necessary data, work with data scientists to create machine learning models, develop it to an application with intuitive user interface, integrate with any pre-existing systems, demonstrate successful use cases and wins, etc.   Responsibilities and Tasks include, but not limited to:   * Understanding business needs and strategy to develop data science solutions * Collaborating with other data engineers and business process experts to access existing data in data warehouse and big data environments * Developing new or enhancing prior data acquisition and ETL pipelines from various sources into big data ecosystem. * Preparing data for machine learning using appropriate steps and methods, which may include data cleaning, transformation, augmentation, enrichment, sampling, etc. * Working with various scientific data such as equipment sensor data and logs, image and various types of signals, manufacturing process data, etc. to extract meaningful information for analytics * Creating intuitive user interface for interactive data visualization to explain insights from data * Preparing and delivering powerful presentations with rich data visualizations and meaningful business conclusions * Documenting the train of thoughts used to design and implement solutions along with managed source code * Traveling and participating in various internal forums for strategy building and to build solutions in collaboration with various manufacturing sites","Qualifications and Experience: * B.S degree or M.S. degree with 2 years’ experience in Computer Engineering, Industrial Engineering, or any other discipline with extensive programming or machine learning work  * Minimum 2 years of experience working in big data and data science projects and teams * Extensive experience with Java, Scala, Python in Hadoop ecosystem (Spark, Hive, HBase, etc.) is a must * Extensive experience with at least one relational databases (MS SQL, Oracle, MySQL, Teradata, etc.) is a must * Experience with building analytical web applications and data visualization technologies (Django, Javascript, Bootstrap, D3, etc.) is a plus * Good grasp of statistical and scientific programming packages in Python, R, etc. * Good grasp of data science concepts with emphasis on machine learning techniques is a plus * Experience with image processing (OpenCV, Python PIL, scikit-image, etc.) is a plus * Proficiency with collaborative source code management and documentation tools. (GIT, JIRA, Confluence, etc.) * Strong communication skills (written, verbal and presentation) * Willing to do international travel"
57,165e3137bfd84a80aa511eb2574a2e44,https://www.mycareersfuture.sg/job/mct-big-data-engineer-165e3137bfd84a80aa511eb2574a2e44,MCT Big Data Engineer,"Permanent, Full Time",Company Undisclosed,,Non-executive,"Engineering, Manufacturing",3400,6800,Monthly,28 Jan 2019,0,0,0,1,"Do you have a broad theoretical and practical understanding of data engineering and data science? Can you wrangle large scale multidimensional data effectively? Are you always curious to learn something new? Do you love to solve engineering puzzles and optimize complex systems? Can you translate an idea in to an algorithm and make it into a product with quality and scalability in mind? Are you looking for window to the world ?   If so, you may be a great candidate for an Manufacturing Central Team (MCT) Data Engineer position at company, a global, Fortune 500 leader in the semiconductor industry. This position will be based in Singapore.   As an MCT Data Engineer at company, you will:   * Work with an international team of data scientists, data engineers, software engineers, process and equipment engineers, process integration engineers, yield enhancement engineers, R&D, etc. in a collaborative manner to develop new data science solutions that improve quality, improve yield, reduce deviations, improve manufacturing cycle time, reduce cost, extend manufacturing capabilities, etc. * Draw from a broad background of data-mining techniques in mathematics, statistics, information technology, machine learning, data engineering, design of experiments (DOE), visualization, etc. to discover insightful patterns in semiconductor manufacturing data * Work on projects and develop solutions that would be of high impact to various areas at all manufacturing fabs * Deliver polished presentations of data acquisition, data flow, data preparation and data presentation layer to internal customers and leaders to inform business strategy, streamline operations, and execute to revenue goals * In short, be a full-stack data engineer who can take an idea, access and prepare necessary data, work with data scientists to create machine learning models, develop it to an application with intuitive user interface, integrate with any pre-existing systems, demonstrate successful use cases and wins, etc.   Responsibilities and Tasks include, but not limited to:   * Understanding business needs and strategy to develop data science solutions * Collaborating with other data engineers and business process experts to access existing data in data warehouse and big data environments * Developing new or enhancing prior data acquisition and ETL pipelines from various sources into big data ecosystem. * Preparing data for machine learning using appropriate steps and methods, which may include data cleaning, transformation, augmentation, enrichment, sampling, etc. * Working with various scientific data such as equipment sensor data and logs, image and various types of signals, manufacturing process data, etc. to extract meaningful information for analytics * Creating intuitive user interface for interactive data visualization to explain insights from data * Preparing and delivering powerful presentations with rich data visualizations and meaningful business conclusions * Documenting the train of thoughts used to design and implement solutions along with managed source code * Traveling and participating in various internal forums for strategy building and to build solutions in collaboration with various manufacturing sites","Qualifications and Experience: * B.S degree or M.S. degree with 2 years’ experience in Computer Engineering, Industrial Engineering, or any other discipline with extensive programming or machine learning work  * Minimum 2 years of experience working in big data and data science projects and teams * Extensive experience with Java, Scala, Python in Hadoop ecosystem (Spark, Hive, HBase, etc.) is a must * Extensive experience with at least one relational databases (MS SQL, Oracle, MySQL, Teradata, etc.) is a must * Experience with building analytical web applications and data visualization technologies (Django, Javascript, Bootstrap, D3, etc.) is a plus * Good grasp of statistical and scientific programming packages in Python, R, etc. * Good grasp of data science concepts with emphasis on machine learning techniques is a plus * Experience with image processing (OpenCV, Python PIL, scikit-image, etc.) is a plus * Proficiency with collaborative source code management and documentation tools. (GIT, JIRA, Confluence, etc.) * Strong communication skills (written, verbal and presentation) * Willing to do international travel"
58,21861e90483b457a87d98b573aeedb8e,https://www.mycareersfuture.sg/job/data-scientist-21861e90483b457a87d98b573aeedb8e,Data Scientist,Full Time,Company Undisclosed,,Non-executive,"Engineering, Manufacturing",3400,6000,Monthly,28 Jan 2019,0,0,0,0,"Responsibilities: Align to, Understand, and Prioritize Analytic Goals to Address Business Opportunities and Value  •  Maintain an intimate understanding of company and department strategy  •  Understand the business objectives in order to develop or establish success criteria metrics  •  Translate business problems into one or more data science projects/solutions    Lead Efforts to Identify Signals in Data that Address Use Cases  •  Understand business processes (data sources and meaning)  •  Manage and optimize data discovery and cleansing  •  Understand and collect relevant data  •  Identify new data sources in the network that will create new insights to business needs  •  Explore relevant data through visualization and statistical methods    Collect, Organize, and Prepare Data for Analysis  •  Work with various volumes of data from multiple disparate sources and perform data analysis and mining to generate solutions to business problems  •  Ensure processes taken to maintain data integrity  •  Understand available data and what data is relevant  •  Collaborate with data architects (IS engineers, BI engineers, DBAs, etc.) to ensure that data needed is available  •  Develop and automate ETL jobs for various volumes of data    Uncover Patterns in Data, Develop Models, and Evaluate Validity of Solutions  •  Develop expertise in data mining and analytic methods  •  Determine statistical validity and significance (pick out signals from noise)  •  Identify and apply appropriate analytical models  •  Evaluate results using statistical methods and improve the model where appropriate  •  Develop predictive models    Deploy Data Science Models into Business Processes  •  Present findings and deliver recommendations using effective presentation and data visualization techniques  •  Collaborate with software engineers to deploy data science solutions into production applications  •  Ensure that the models are easy to support and maintain  •  Regularly review deployed models and monitor for continual improvement  •  Validate that the business value has been met",Requirements:  Doctorate Degree or equivalent experience in Statistics/Physics/Computer Science/Engineering/Operations Research/Applied Maths Good knowledge in programming and statistics. Excellent code writing abilities. Experience in Data-mining and yield analysis. Experience in developing application and data-source in Hadoop big data platform will be advantageous. 
59,eedf3e4ed9b4a1109dede573c065e4c7,https://www.mycareersfuture.sg/job/senior-manager-irisnation-singapore-eedf3e4ed9b4a1109dede573c065e4c7,Senior Manager,Full Time,IRISNATION SINGAPORE PTE. LTD.,19 CHINA STREET 049561,Manager,Advertising / Media ,4500,6800,Monthly,27 Jan 2019,0,0,0,0,"We’re Iris Concise (www.Iris-concise.com) – a global growth consultancy with offices across Asia, the US and Europe. We help our clients develop more valuable relationships with their customers. We are entrepreneurs ourselves and believe in offering clients new perspectives. We get to the point. Our business operates across 6 communities of practice – collaborative teams spanning our global offices in which we publish content, deliver projects and develop products. In Singapore we focus on 3 communities – commercial strategy, marketing effectiveness and digital transformation. Data underpins everything we do, and data science makes up our fundamental final community. Concise is part of Iris Worldwide, the global creative innovation network (www.Iris-worldwide.com). We drive business growth with many of the world’s household names –Samsung, Intercontinental Hotels Group, Phillips, Starbucks, Shell and others. Is this You? We’re looking for a strong data analyst, capable of turning a wealth of data into insights that can be used to increase the business impact of CRM, both through retention of existing customers and acquisition from competitors. The right candidate will be a self-motivated individual, capable of both working independently and leading workstreams, as well as collaborating as part of a team. You’ll be working as part of a cross-agency team (data, strategy, creative, production, operations) which is pioneering data-driven marketing for one of the biggest electronics brands in the world.","What are we looking for ? For this role you must have:   Strong, hands-on experience in advanced analytics using SQL or similar   Experience in designing, developing, and applying advanced analytics solutions to commercial and marketing challenges   Experience owning the design and development of analytical projects   The ability to describe analytics and its outputs in a manner which is clearly understood by those without a working knowledge of data   Be capable of presenting data outputs to senior clients   A Bachelors / Masters degree (likely to be in the Economics, Mathematics, or other numerate fields) with 3-5 years of work experience For this role, ideally, you’d have:     An understanding of the broader context of analytics as one pillar of data-driven marketing   Experience working on CRM focussed projects   Experience working with Qlik to build automated dashboards What you’ll do   Work as part of a 10-person core team operating our client’s regional data-driven marketing program (1 x program lead, 4 x analysts, 5 x execution specialists)   Lead the delivery of regular insight deliverables (with the support and guidance of a Senior Data Scientist), producing exploratory analysis which informs business / marketing strategy and campaigns   Measure the effectiveness and business impact of marketing activities, and provide recommendations as to how activities should be optimised   Be responsible for consistently and proactively producing interesting and unexpected insights to our clients, positioning Iris Concise as a leader in data-driven marketing   Likely be 80% - 100% focussed on a single client for the first 6 months of your role    "
60,6e14524c2a61703ef7a0d12144f5474e,https://www.mycareersfuture.sg/job/senior-manager-irisnation-singapore-6e14524c2a61703ef7a0d12144f5474e,Senior Manager,Full Time,IRISNATION SINGAPORE PTE. LTD.,19 CHINA STREET 049561,Middle Management,Advertising / Media ,4500,7000,Monthly,27 Jan 2019,0,0,0,0,"We’re Iris Concise (www.Iris-concise.com) – a global growth consultancy with offices across Asia, the US and Europe. We help our clients develop more valuable relationships with their customers. We are entrepreneurs ourselves and believe in offering clients new perspectives. We get to the point. Our business operates across 6 communities of practice – collaborative teams spanning our global offices in which we publish content, deliver projects and develop products. In Singapore we focus on 3 communities – commercial strategy, marketing effectiveness and digital transformation. Data underpins everything we do, and data science makes up our fundamental final community. Concise is part of Iris Worldwide, the global creative innovation network (www.Iris-worldwide.com). We drive business growth with many of the world’s household names –Samsung, Intercontinental Hotels Group, Phillips, Starbucks, Shell and others. Is this you? We’re looking for a strong data analyst, capable of turning a wealth of data into insights that can be used to increase the business impact of CRM, both through retention of existing customers and acquisition from competitors. The right candidate will be a self-motivated individual, capable of both working independently and leading workstreams, as well as collaborating as part of a team. You’ll be working as part of a cross-agency team (data, strategy, creative, production, operations) which is pioneering data-driven marketing for one of the biggest electronics brands in the world.","What we’re looking for... For this role as Senior Manager,  you must have:   Strong, hands-on experience in advanced analytics using SQL or similar   Experience in designing, developing, and applying advanced analytics solutions to commercial and marketing challenges   Experience owning the design and development of analytical projects   The ability to describe analytics and its outputs in a manner which is clearly understood by those without a working knowledge of data   Be capable of presenting data outputs to senior clients   A Bachelors / Masters degree (likely to be in the Economics, Mathematics, or other numerate fields) with 3-5 years of work experience For this role, ideally, you’d have:     An understanding of the broader context of analytics as one pillar of data-driven marketing   Experience working on CRM focussed projects   Experience working with Qlik to build automated dashboards What you’ll do   Work as part of a 10-person core team operating our client’s regional data-driven marketing program (1 x program lead, 4 x analysts, 5 x execution specialists)   Lead the delivery of regular insight deliverables (with the support and guidance of a Senior Data Scientist), producing exploratory analysis which informs business / marketing strategy and campaigns   Measure the effectiveness and business impact of marketing activities, and provide recommendations as to how activities should be optimised   Be responsible for consistently and proactively producing interesting and unexpected insights to our clients, positioning Iris Concise as a leader in data-driven marketing   Likely be 80% - 100% focussed on a single client for the first 6 months of your role    "
61,2efb0f4a7886f3aee009770d4efbbd00,https://www.mycareersfuture.sg/job/lecturer-info-comm-technology-institute-technical-education-2efb0f4a7886f3aee009770d4efbbd00,Lecturer - Info-Comm Technology (IT Applications Development),Contract,Institute of Technical Education,2 ANG MO KIO DRIVE 567720,Executive,"Information Technology, Public / Civil Service",3000,6000,Monthly,26 Jan 2019,1,0,0,0,"Responsibilities As a Lecturer, your contributions go beyond teaching and facilitating learning. You play a critical role in recognising and nurturing your students’ potential and their lifelong learning needs. In addition, you will carry out industry or consultancy projects to help you remain relevant in your profession and to evolving changes in industry, and maintain strong linkages with industry and schools. You will also have the opportunity to have industry attachments or experience on a regular basis to update your skills, knowledge and practices of your profession. Those with good and relevant experience can look forward to Senior Lecturer or equivalent positions, with career development opportunities to leadership positions in the Colleges or Headquarters.Requirements  College Central  You should be trained in Information Technology, Computer Science or Software Engineering, with at least 3 years of relevant work experience in Web/Mobile applications development, Content Management System or IT related field. You should be competent with Adobe CC applications and have good programming skills in iOS programming (SWIFT), C#, PHP, HTML5, CSS, JavaScript, Python. Candidates with experience and/or IT certifications in areas of Data Analytics, Internet of Things (IoT), or Artificial Intelligence (AI) and Machine Learning (ML) will have an advantage College East You should be trained in Information Technology, Computer Science, Data Science and/or Analytics, with at least 3 years of relevant work experience to be able to develop students' skills in implementing IoT/software applications, including data analytics solutions. You should possess relevant experience in one or more of the following areas: - development of IoT applications - data analytics technologies and Big Data - proficiency in programming languages such as Python, R or similar (familiarity with Python-based libraries such as scikit-learn, numpy/scipy and pandas is preferred) - programming web and mobile applications would be advantageous ",None
62,24b8f8766d5ddff9b94e71a34f3b3387,https://www.mycareersfuture.sg/job/lecturer-electronics-communication-institute-technical-education-24b8f8766d5ddff9b94e71a34f3b3387,Lecturer - Electronics (Internet of Things (IoT) & Communication),Contract,Institute of Technical Education,2 ANG MO KIO DRIVE 567720,Executive,"Information Technology, Public / Civil Service",3000,6000,Monthly,26 Jan 2019,1,0,0,0,"Responsibilities As a Lecturer, your contributions go beyond teaching and facilitating learning. You play a critical role in recognising and nurturing your students’ potential and their lifelong learning needs. In addition, you will carry out industry or consultancy projects to help you remain relevant in your profession and to evolving changes in industry, and maintain strong linkages with industry and schools. You will also have the opportunity to have industry attachments or experience on a regular basis to update your skills, knowledge and practices of your profession. Those with good and relevant experience can look forward to Senior Lecturer or equivalent positions, with career development opportunities to leadership positions in the Colleges or Headquarters.Requirements College Central   You should be trained in Electronics Engineering, Computer Science, Computer Engineering, IoT related subjects, with at least 3 years of relevant experience in design, develop and deployment of embedded firmware for IoT & Communication hardware and software.   You should be familiar in one or more of the following areas:  - roduct electronics design related to analogue, digital and power electronics - PCB Cad design software rules and routing - programming skills on C, C++ or python  - IoT/Cloud development and data visualization - electronics assembly and hardware     College East You should be trained in Information Technology, Computer Science, Data Science and/or Analytics, with at least 3 years of relevant work experience to be able to develop students' skills in implementing IoT/software applications, including data analytics solutions. You should possess relevant experience in one or more of the following areas: - development of IoT applications - data analytics technologies and Big Data - proficiency in programming languages such as Python, R or similar (familiarity with Python-based libraries such as scikit-learn, numpy/scipy and pandas is preferred) - programming web and mobile applications would be advantageous    ",None
63,a3683af36b036d1bba755d792f3d7dc2,https://www.mycareersfuture.sg/job/senior-consultant-application-ncs-a3683af36b036d1bba755d792f3d7dc2,"Senior Consultant, Application",Permanent,NCS PTE. LTD.,"NCS HUB, 5 ANG MO KIO STREET 62 569141",Professional,Information Technology,4000,7000,Monthly,25 Jan 2019,0,0,0,1," Development of data architecture, strategy and governance to support business, application, security and technology strategic analysis and decision making   Assessment of current and target states of the data architecture to align with strategic or tactical objectives and to develop recommendations to close the gaps   Integrate cloud and on premise data warehouses and data lakes with metadata management, for powerful data-driven solutions   Provides consultancy to clients in areas of data governance to improve quality and control in the management and usage of data. Helps help defines standards, processes and adopts best practices in data management.  Presents roadmaps and architecture landscapes to senior stakeholders to fulfill the organization’s data science, cognitive, analytics and reporting requirements   Evaluation of data related technologies, and defining best practices in the assessments of standards, tools and methodologies including ETL development, to perform hands on data analysis   Create innovations in both analytic algorithms and methodologies with business impact. Responsible for the end-to-end process of analytical solutioning, involving conceptualization and business engagement   Ensures data quality and performs data cleansing to ensure a single source of truth, to enable data as a service for business units and front-end applications to consume   Perform quality review of data modeling design and deliverable, leading work sessions and deliverable presentations with business stakeholders   Manage architecture and technology governance committee agenda to ensure data, security and technology requirements aligned to enterprise standards and policies "," Bachelors or Master’s Degree in Computer Science, Information Technology, or equivalent At least 5 years design & development experience in enterprise data warehousing and analytics projects Expert in Oracle, MSSQL, MYSQL database technologies Best practices using data solutions using Hadoop, Cloudera, Spark, Kafka, MongoDB, NoSQL, Cassandra, Graph, etc Familiar with Tableau, Microstrategy, Qlikview, Informatica, Hortonworks, Talend, Hive and HBase   Understands machine learning, statistics, natural language processing, sentiment analysis, graph analysis, augmented and virtual reality   Proficient in handling complex technical development concepts, latest software tools and technologies, strong database concepts and designing techniques   Excellent in working effectively in a multi-tasking environment, ability to prioritize competing tasks   Fluency and efficiency in creating technical architecture documentation, presentations and stakeholder pitches   TOGAF or other industry recognized architecture certifications preferred "
64,c605a552bf2a0ae3caad295b5a238394,https://www.mycareersfuture.sg/job/data-scientist-smartsoft-c605a552bf2a0ae3caad295b5a238394,Data Scientist,Full Time,SMARTSOFT PTE. LTD.,"INTERNATIONAL PLAZA, 10 ANSON ROAD 079903",Senior Executive,Information Technology,6000,11000,Monthly,25 Jan 2019,0,0,0,0,"We are looking for highly motivated Individual who will work with various members of Data Intelligence & Science (DISc) team to address challenging data science problems by leveraging techniques in statistics, machine learning or/and data mining.  ","•       Masters/Bachelor degree in Statistics/Applied Math/Operational Research/Computer Science or related field •       5+ experience of working experience in software or related industry •       2+ experience as data scientist working on various data science projects. •       Experienced in developing machine learning models for real-world problems using R, python or other languages •   Experience in Deep Learning and AI related project a huge plus •       Familiar with big data technologies like Hadoop, Hive, Pig and Spark •       Able to conceptualize prototypes and evolve them to full fledge solutions •       Able to articulate the findings and work in a team environment  "
65,2cce3a0fd90690d4b4505d77e0eff1e7,https://www.mycareersfuture.sg/job/data-scientist-schellden-global-services-2cce3a0fd90690d4b4505d77e0eff1e7,Data Scientist,Full Time,SCHELLDEN GLOBAL SERVICES,"INTERNATIONAL PLAZA, 10 ANSON ROAD 079903",Senior Executive,Information Technology,6000,11000,Monthly,25 Jan 2019,0,0,0,0,"We are looking for highly motivated Individual who will work with various members of Data Intelligence & Science (DISc) team to address challenging data science problems by leveraging techniques in statistics, machine learning or/and data mining.  ","•       Masters/Bachelor degree in Statistics/Applied Math/Operational Research/Computer Science or related field •       5+ experience of working experience in software or related industry •       2+ experience as data scientist working on various data science projects. •       Experienced in developing machine learning models for real-world problems using R, python or other languages •   Experience in Deep Learning and AI related project a huge plus •       Familiar with big data technologies like Hadoop, Hive, Pig and Spark •       Able to conceptualize prototypes and evolve them to full fledge solutions •       Able to articulate the findings and work in a team environment  "
66,7b446f16f1967685b15c4d50565d63bd,https://www.mycareersfuture.sg/job/data-scientist-schellden-global-7b446f16f1967685b15c4d50565d63bd,Data Scientist,Full Time,SCHELLDEN GLOBAL PTE. LTD.,"INTERNATIONAL PLAZA, 10 ANSON ROAD 079903",Senior Executive,Information Technology,6000,11000,Monthly,25 Jan 2019,0,0,0,0,"We are looking for highly motivated Individual who will work with various members of Data Intelligence & Science (DISc) team to address challenging data science problems by leveraging techniques in statistics, machine learning or/and data mining.  ","•       Masters/Bachelor degree in Statistics/Applied Math/Operational Research/Computer Science or related field •       5+ experience of working experience in software or related industry •       2+ experience as data scientist working on various data science projects. •       Experienced in developing machine learning models for real-world problems using R, python or other languages •   Experience in Deep Learning and AI related project a huge plus •       Familiar with big data technologies like Hadoop, Hive, Pig and Spark •       Able to conceptualize prototypes and evolve them to full fledge solutions •       Able to articulate the findings and work in a team environment  "
67,51ea2ce5b0eedff231dc658097a05543,https://www.mycareersfuture.sg/job/data-scientist-jabil-circuit-51ea2ce5b0eedff231dc658097a05543,Data Scientist,"Permanent, Full Time",JABIL CIRCUIT (SINGAPORE) PTE. LTD.,16 TAMPINES INDUSTRIAL CRESCENT 528604,Executive,"Information Technology, Manufacturing",3000,6000,Monthly,25 Jan 2019,0,0,0,1,"JOB SUMMARY The Data Scientist I is a statistical analyst well versed in various analytical disciplines, such as linear and constraint programming, modeling, simulation, time series analysis, text analytics, multivariate analysis, and other various predictive analytics techniques. This role will have experience querying and analyzing large data sets using traditional structured data base tools and “big data” tools for unstructured data to generate actionable insights and solutions.   ESSENTIAL DUTIES AND RESPONSIBILITIES ●         Work as part of a data science, business intelligence, and/or business analytics team to produce predictive and/or statistical models and algorithms or statistical engines for input to key business applications. (e.g. InControl 2.0, R, Azure ML, Minitab, Python, SaS, IBM SPSS) ●         Take direction from senior data scientists and/or IT Technical Leads on model creation where required. ●         Participate in team stand ups, meetings and brainstorming activities. ●         Demonstrates a commitment to customer service; anticipates, meets, and exceeds expectations by solving problems quickly and effectively; making customer issues a priority. ●         Build dashboards as well as bespoke, custom analysis. ●         Work on teams with business/functional stakeholders to help make data driven decisions ●         Understand and embrace the business and IT strategic direction. ●         May perform other duties and responsibilities as assigned.","●         Advanced Statistics, operations research/ management, mathematics or business analytics with experience, courses, or project work in an analytic methods such as linear, mixed linear, constraint programming, modeling, simulation, time series analysis, pattern recognition, queuing theory, multivariate analysis, and other various predictive analytics techniques ●         Strong written and verbal communication skills and the ability to work effectively in teams and under pressure. ●         Bilingual in Chinese and English (high fluency) as the successful person will liaise with our counterpart in China ●         Ability to draw conclusions from data and prescribe actionable and measurable activities. ●         Highly motivated and creative, thinking “out of the box”. ●         Familiarity with non-relational data frameworks. ●         Experience with big data applications and machine learning applications. ●         Strong team mentality, interpersonal and communications skills ●         Enthusiasm and ability to seek out and learn new technologies and algorithms outside of your immediate toolset/knowledge to solve business problems where required."
68,f93dc298de35c9c833d992120476878c,https://www.mycareersfuture.sg/job/-big-data-engineer-f93dc298de35c9c833d992120476878c,IT - BIG DATA ENGINEER,"Permanent, Full Time",Company Undisclosed,,Non-executive,"Engineering, Manufacturing",3400,6800,Monthly,25 Jan 2019,0,0,0,1,"Responsibilities: Be part of a DevOps team that design, build and maintain innovative Smart Manufacturing solutions and Big Data platform.  Participate in Agile development lifecycle for software & solution related to Smart Manufacturing and Big Data platform.   Work with Data Science within company to develop, automate and maintain reliable data analytic and mining solutions for Smart Manufacturing and Big Data platform.  Ability to assess current IT environments and make recommendations to increase capacity needs.  Communicate, collaborate and coordinate on Smart Manufacturing and Big Data related activities to various level of stakeholders and senior management.","Requirements: Bachelor’s or Master’s degree Computer Science, Electrical & Electronics/Computer/Software Engineering, Information Systems or related fields.   Fresh graduates are welcome to apply and for those with good understanding and hands-on experience in the following areas will be advantageous.    Hadoop based technologies such as HDFS, MapReduce, Hive, MongoDB, HBase, Spark etc.  Data warehousing solutions and latest (NoSQL) database technologies.  Programming or scripting languages like Java, Linux, Matlab, C#/C++, Python, Perl and/or R on Linux/Windows platforms.  Big Data visualization and reporting software like Tableau.  ETL/BI solutions using Microsoft SSIS, Informatica or having DB programming experience (TSQL, PLSQL).    Effective oral and written communication with strong analytical, problem solving, multitasking and project management skills are essential on the job."
69,afa6f65241f8676bee51ff46f606f933,https://www.mycareersfuture.sg/job/fuels-analyst-afa6f65241f8676bee51ff46f606f933,Fuels Analyst,"Permanent, Full Time",Company Undisclosed,,Professional,Engineering,8500,12000,Monthly,25 Jan 2019,0,0,0,1,"Fundamental analysis of global fuels markets (principally thermal coal and LNG, with a lesser focus on oil) with the following key objectives:  Create the Group’s core expertise for fuels market analysis Support the activities and profitability of a centralised fuels trading team Be part of a team developing short and long-term fuel price scenarios to drive operational and investment decisions Support other analysts (principally in power) within the operating companies of the Group  Key Responsibilities:  Maintain, improve and develop inputs and outputs for global fuels markets analysis Develop and maintain fundamental supply/demand models as required Gather and interpret data and analysis from external analysis providers, liaising directly with them as necessary Utilise advanced modelling techniques with the assistance of the Group’s technology capabilities, especially the Data Science team Support fuels traders with market views and key fundamental price drivers Support power markets specialists within the operating businesses in their analysis of power markets and generation optimization Work with the Strategy team to develop assumptions and scenarios for long term fuels prices, thereby supporting future asset and acquisition decisions In the longer term : train, develop and manage junior staff to help perform these responsibilities ","Key Requirements:  At least 5 years of working experience in the energy industry (e.g. consulting, investment banking, research, energy producers and other industrial players) Degree in an analytical discipline, preferably Economics or Engineering or similar Excellent understanding of the drivers of fuels prices such as short run marginal costs, long term cost of new capacity, electricity generation, freight and terminal/port costs, impact of fuel qualities Experience of gathering and processing key input data for fundamental analysis of coal and LNG; preferably with direct experience of specific issues affecting Asia-Pacific fundamentals Experience of building and maintaining fundamental supply/demand models Understanding of relevant policy and regulatory factors affecting fuels prices; ability to monitor and determine changes, especially those related to climate change A strong understanding of energy markets, experience of working with energy traders is preferable Good communication skills, preferably with working experience in a client facing environment, presenting and discussing analytical findings Experience of developing and managing junior staff is desirable "
70,f4e5b50e258dd4338eb544f303554bf6,https://www.mycareersfuture.sg/job/data-science-lead-consultant-u3-infotech-f4e5b50e258dd4338eb544f303554bf6,Data Science Lead Consultant,"Permanent, Full Time",U3 INFOTECH PTE. LTD.,"OUE DOWNTOWN, 6 SHENTON WAY 068809",Professional,"Engineering, Information Technology",6000,8500,Monthly,24 Jan 2019,0,0,0,1,"Primary Responsibilities:  • Understand large data sets, build data models to address business problems • Undertake data collection, pre-processing and analysis • Build predictive models and machine learning algorithms ","The role will involve analysis and extensive data crunching with good amount of hands on programming skills. This role requires following skills and experience:   • Proven experience (5+Years) as a Data Scientist or Data Analyst • Good knowledge on cloud technologies especially Microsoft Azure. • Experience in data mining • Understanding of machine-learning and operations research • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) • Analytical mind and business acumen • Strong math skills (e.g. statistics, algebra) • Problem-solving aptitude • Excellent communication and presentation skills     Candidate should possess good soft skills as mentioned below:  • Should possess excellent problem solving and is able to work effectively in a less structured environment and manage time. • Excellent verbal and written communication skills • Work closely with onsite and offshore team members • Willing to travel to the customers locations on need basis outside of Singapore    Interested applicants, please send CVs in WORD format directly to roopinder@u3infotech.com. *Please note only shortlisted candidates will be contacted."
71,962b6b110b66841082656a7f6fc8c7eb,https://www.mycareersfuture.sg/job/market-analyst-grabtaxi-holdings-962b6b110b66841082656a7f6fc8c7eb,Market Analyst (Data),Full Time,GRABTAXI HOLDINGS PTE. LTD.,"OUE DOWNTOWN, 6 SHENTON WAY 068809",Executive,Others,3000,6000,Monthly,24 Jan 2019,0,0,0,0,"Get to Know Our Team: The team dubbed the “cool kids” is unconventional, exciting, and mysterious. We embrace teamwork, diversity, creativity, humor, and diligence.   Get to Know the Role: The team takes on some of the most challenging and fascinating market research in the fields of transport, food delivery, payments, and platform services. We apply both traditional and offbeat techniques to form key analytical perspectives of the ever-changing market. We promote a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate.   The day-to-day activities:   Use quantitative tools to provide uncover strategic and operational insights on various business verticals, regional markets, competitors, and any aspect of the external environment to help shape key stakeholders' perspectives.   Explore, analyze and aggregate data sets to provide actionable information. Create intuitive visualizations to convey broader these results to key stakeholders. Gather, analyze and disseminate insights.   Explore and create new data sources from time to time to further the team’s information-gathering capabilities.   Market Analyst (Data) is not characterized by the following:   Specializing in ETL, pipelining and other data infrastructure tasks. Though it is common to build and maintain some pipelines, we have a dedicated Data Engineering team for this.   Building, training and deploying machine learning models to production in support of our App. Most production models related to our App are managed by our Engineering and Data Science teams.   Taking an academic approach to Grab’s data. That is handled by our core Data Science team.   Responding to ad-hoc data requests from business teams. Most of the operational dashboards are maintained by our Data Analytics team.  ","The Must-haves:  A Bachelor's degree in any field. Strong foundation in data query/wrangling using SQL, python/R/Scala and data visualisation using tools like Tableau. An attitude of self-motivation, effective time management, and the ability to operate in a dynamic and fast-paced working environment. Experience in business, strategy and/or tech consulting would be an advantage. "
72,9ffef96084b9ec6e133c6bee88026928,https://www.mycareersfuture.sg/job/data-scientist-mannhummel-ventures-9ffef96084b9ec6e133c6bee88026928,DATA SCIENTIST,Full Time,MANN+HUMMEL VENTURES PTE. LTD.,"SYMBIOSIS, 3 FUSIONOPOLIS WAY 138633",Manager,Sciences / Laboratory / R&D,7000,8350,Monthly,24 Jan 2019,0,0,0,0," Advocate, evangelize and build data-fuelled products and services that help our customers improve filtration. Advocate, evangelize and build data-fuelled services that help our internal customers improve their operations. Dig in and become an expert on our filtration technology datasets. Provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables. Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas. You will lead applied analytics initiatives that are leveraged across the breadth of our solutions for Automotive, Industrial, Air, and Water filtration. Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes. Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization Implement PoC and PoV to test and validate the proposed analytics or algorithm Benchmark and recommend best solutions to implement our big-data and machine learning algorithm on our cloud infrastructure "," Ph.D. or Master’s Degree in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline. Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms. more than 5 years of experience delivering world-class data science outcomes Able to solve complex analytical problems using quantitative approaches with your unique blend of analytical, mathematical and technical skills. Passionate about asking and answering questions in large datasets, and you are able to communicate that passion to product managers and engineers. Keen desire to solve business problems, and live to find patterns and insights within structured and unstructured data. You propose analytics strategies and solutions that challenge and expand the thinking of everyone around you. Expert in analysing large, complex, multi-dimensional datasets with a variety of tools. You are accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS. Experience with BI tools such as Tableau and Micro-strategy. You’re as comfortable with relational databases as you are with Hadoop-based data mining frameworks. You are familiar with SQL, Python, R, Go, Java and C/C++. Comfortable with fast paced, test-driven, collaborative and iterative engineering environment. You love learning, data, scale and agility. You excel at making complex concepts simple and easy to understand by those around you. You’re driven to show the world the power of applied analytics. Knowledge or previous experience with Amazon Web Services or other major public cloud provider is a plus Knowledge or previous experience with Docker technology is a plus English written / spoken Able to multitask and execute with a positive ""can do"" attitude Able to learn fast through self-directed interdisciplinary research "
73,112a11addef68382ffad5d3ee5799ed9,https://www.mycareersfuture.sg/job/management-consultant-sia-partners-singapore-112a11addef68382ffad5d3ee5799ed9,Management Consultant,Full Time,SIA PARTNERS SINGAPORE PTE. LTD.,"GRACE GLOBAL RAFFLES, 137 MARKET STREET 048943",Junior Executive,Banking and Finance,4500,6500,Monthly,24 Jan 2019,0,0,0,0,"Sia Partners is a specialist management consulting firm which was initially established in Paris, France in 1999 and has grown into a global firm with approximately 1,200 employees and revenue exceeding $230m. Our culture is strongly orientated towards high quality expertise and delivering excellent results and outcomes for our clients which include a wide range of multinational companies. We have a global reach with integrated teams based in 23 locations, including London, Paris, New York, Montreal, Dubai, Hong-Kong, Tokyo and Singapore. The specialist services we offer include Digital Transformation, Operational Excellence, Change Management, Smart Automation and Data Science. After several years of significant growth in Asia, we are continuing to expand our business and are looking for talented and self-motivated Consultants in Singapore, Hong-Kong and Tokyo. Job Description Consultant in Financial Services (Singapore) Due to our growth, we are currently looking for management consultants with experience working on client projects in the Financial Services & Insurance sectors. Position Overview:  Participating in projects with leading financial institutions and banks, for their operational strategy management, regulatory & compliance advisory, change and transformation projects. Be an active team member and provide support to Senior Consultants and Managers for the successful execution of client projects. Working closely with our other offices and leverage our global network to take part to cross-selling initiatives and widely share our knowledge Sharing consulting best practices with the team. Prepare material to support business development initiatives ","Required skills:  1 - 3 years of experience and capabilities in business analysis within Financial Services sectors, ideally with a management consulting firm.  At least a Bachelor or equivalent in Economics, Business, Engineering or Science. Excellent communication skills (verbal and written) and client face-off. Ability to work independently and take full ownership and responsibility. Project Management skills advantageous. Strong documentation skills using Microsoft Office applications (Excel, PowerPoint, Word). Experience in the management consulting industry is preferred. "
74,4fc39b169e0294359613d0835828574e,https://www.mycareersfuture.sg/job/director-product-management-perx-technologies-4fc39b169e0294359613d0835828574e,"Director, Product Management",Full Time,PERX TECHNOLOGIES PTE. LTD.,"THE RIVERWALK, 20 UPPER CIRCULAR ROAD 058416",Senior Management,Engineering,,,,24 Jan 2019,0,0,0,0," Collaborates with Engineering, Project Management, Sales, Data Science, Client Services, and Marketing to ensure the timely delivery of high-quality products.  Owns the day-to-day execution of product management and product marketing tasks. Partners with cross-functional stakeholders to elicit, identify, and capture market requirements and define product roadmaps.   Synthesizes input from clients, Sales, market research, industry trends, revenue numbers, etc. to build and prioritize requirements. Methodically negotiates product vision with tactical execution, ensuring the voice of the customer is prioritized. Articulates business and product requirements for new products and enhancements. Partners closely with Engineering to manage the product development life cycle, ensuring that specified functionality is correctly prioritized, released on time, to specification, and with high quality. Works with Marketing to create presentations, marketing collateral, and other supporting materials to facilitate communication across all teams. Acts as a key product expert, evangelist and advocate for products and initiatives. Supports Sales with client engagements, assisting with pricing, SOW development, and satisfying client requirements.   Assists with product bug identification, troubleshooting, and triage. Incorporates customer and business partner feedback into future product requirements, balancing requirements across the varying needs of internal business units and client business models. ","   BA / BS in related field, preferably business or computer science related; MBA preferred. 8+ years of relevant experience in product management and/or product marketing with a proven track record of delivering SaaS technology platforms, preferably focused on marketing and/or advertising objectives. Proven success in taking products from concept to commercialization, with a keen eye on controlling costs, increasing revenues, and growing margins.  Extensive experience writing business and product requirements for software, technology, data, and Internet products. Experience with marketing technology platforms, SaaS, and/or loyalty marketing products and services. Excellent communication skills, both written and verbal, with the ability to interact with cross-functional teams at all levels. Experience, comfort and aptitude interacting with senior management both internally and with clients and partners.  Must be self-motivated, resourceful, diligent, and adaptive. Innovative thinker with aptitude in capitalizing upon market disruption to build forward-looking products and platforms to clients and partners. Superior analytical and quantitative skills with a strong understanding of data-driven decisioning and exhibited experience working with Data Science and statistical analysts. Ability to monitor and succinctly report to management on key performance indicators, and deep expertise working with marketing metrics and measurement methodology. Comfortable working with technical and Internet related products, data, and inputs. Strong organizational and project management skills. A natural leader with experience managing people and constituents from various business units, selling ideas, speaking in public settings, and deep expertise in marketing or advertising technology. Available for periodic travel.  "
75,507690456fdb1474c42caeec71fa9ade,https://www.mycareersfuture.sg/job/research-specialist-centre-research-rehabilitation-protection-rpg-ministry-social-family-development-507690456fdb1474c42caeec71fa9ade,"Research Specialist, Centre for Research on Rehabilitation and Protection, RPG",Full Time,Ministry of Social and Family Development,"MSF BUILDING, 512 THOMSON ROAD 298136",Unknown,"Social Services, Public / Civil Service",,,,24 Jan 2019,0,0,0,0,"The Rehabilitation and Protection Group (RPG) in MSF provides services for the rehabilitation of adult and youth offenders and the protection of children and families. We are passionate and committed to making a difference in the lives of these children, youth, and families, and are looking for like-minded individuals who share the same passion as us to join our dynamic and life-changing team.
Responsibilities
We are looking for individuals who are interested to be a part of exciting research programmes. As researcher in the Centre for Research on Rehabilitation and Protection within the Rehabilitation of Protection Group, you will conduct large-scale research studies (including longitudinal and birth cohort studies) as well as outcome and economic evaluation studies relating to offender rehabilitation and child/adult protection. There will also be opportunities to work on data science projects with various divisions overseeing different areas of operations. In addition, you will provide consultation on research and statistical matters to our stakeholders and partners.
Requirements
Technical/Functional Competencies

PhD degree in Psychology, Criminology, Sociology, Statistics, Epidemiology or Social Work is preferred
Experience in research and statistical skills
Prior experience in a research position and/or peer reviewed research publications

Generic Competencies

A good team player with good research and statistical skills
Strong report writing and effective interpersonal skills
Candidates with post-doctoral fellowship and project management are preferred for the Senior Research Specialist position
",None
76,21bfd6a8cb67dc9e7125940802589439,https://www.mycareersfuture.sg/job/senior-portfolio-planning-alignment-manager-johnson-johnson-21bfd6a8cb67dc9e7125940802589439,Senior IT Portfolio Planning & Alignment Manager,Permanent,JOHNSON & JOHNSON PTE. LTD.,"ASCENT, 2 SCIENCE PARK DRIVE 118222",Manager,Information Technology,8000,16000,Monthly,23 Jan 2019,0,0,0,1,"Janssen Pharmaceuticals discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. At the Janssen Pharmaceutical Companies of Johnson & Johnson, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found.  Janssen Asia Pacific initiates various business programs to drive business growth across the region, with ongoing capability building initiatives in business intelligence, marketing excellence, customer engagement & management, patient engagement through use of emerging technologies, i.e. artificial intelligence, robotic process automation and data science.    The Senior IT Planning & Portfolio Alignment Manager is responsible to establish, monitor and manage the portfolio for Pharma Commercial JJT - ASPAC region to these initiatives.  A robust Portfolio Management process is critical for enabling key decisions on where to focus both time and resources in order to ensure that JJT continues to deliver value to Johnson & Johnson and the businesses that we support.  The scope of “portfolio” may be applied to all JJT resources, including project investment, JJT assets and labor resources. The individual will have the following responsibilities: Project Portfolio Management  Guiding the selection, prioritization and balancing of the portfolio based on business and JJT strategic objectives and financial/resource constraints.   Continuous review of the portfolio and recommending reallocation, reprioritization and optimization of the portfolio based on progress of programs/projects, technology obsolescence, and evolving organizational objectives. Providing key stakeholders with timely assessment of projects pending selection, performance metrics and identification/recommendation to address portfolio issues affecting performance. Ensures the completeness and accuracy of portfolio data with project managers and other stakeholders, including Senior Management. Measure and monitor key performance indicators including portfolio value and project financials, including Plan vs. Committed vs. Actuals and driving benefit realization.  Support leadership level decision processes by providing timely communication to stakeholders on progress, changes and portfolio impacts. Drive/facilitate the portfolio governance processes and reviews, inclusive of Business Planning processes.   Provide input to and participate in key program/project reviews, including documenting executive summaries. Provide education and support for the portfolio related data and processes. Collaborate with peers to develop and execute portfolio and capacity planning processes within Pharm and across the sectors.  Continually strive to improve and evolve processes and develop organizational competencies in project planning and execution, resource management and benefit realization.  Establish, execute and monitor resource management processes as needed. Develop and deliver communication/change management and training in support of Portfolio activities. Measure and understand the total JJT financial health for scope of responsibility.  Be able to articulate financial implications of current year portfolio on future year operating costs. • Develop processes to be able to report on budget to actual spend of the portfolio. Participate in cost reduction activities to as requested. Drive Total Cost of Ownership (TCO) awareness of portfolio.  Application Portfolio Management Serve as “BT Application Champion” role for Commercial – ASPAC applications.  Responsibilities include:  Ensure completeness and accuracy of all in-scope configuration items in the Configuration Management Database (CMDB) following Service Asset and Configuration Management (SACM) processes. Establish forum in the region to communicate to Technical Application Owners (TAOs) Develop understanding of application portfolio and be able to report out on overall inventory of application and underlying infrastructure.  Be able to tie back to investment portfolio for evaluating technology lifecycle management investment needs.  Coordinate and track needed TAO remediation activities.   Ensure all relationships impacted by change activities are maintained in the CMDB.  Coordinates ad-hoc requests requiring TAO engagement to ensure education and compliance within scope.   Team member of Application Management Office (AMO) and within group, assist in the development of AMO processes.  Serve as a liaison and key contact for TAO’s for CMDB and JAI.  Also, provide project support for enterprise initiatives (SDDC, Cloud Services etc.) requiring TAO input and analysis.  Ownership and understanding of application landscape and corresponding technologies within SubGOC. Aide in driving Technology Lifecycle management process/efforts in the region.  Senior Leadership Team (SLT) Operations & JJT Communications  Organize and plan SLT meetings and events (such as monthly/quarterly review session, Business Planning activities etc.).  Build agendas with input from the leadership team, organize presentation materials and coordinate presenters. Manage Enterprise JJT reporting requirements for Strategic Investments to senior leaders Mature JJT Communications of JJT accomplishments highlighting business value Drive organization headcount processes ensuring transparency of vacancies and managing attrition to achieve management decisions Serve as focal point to Finance organization to achieve financial objectives. ","The successful candidate must possess -   Bachelor’s degree (Business or Computer Science preferred).  A minimum of 8-10 years progressive IT work experience is required.  Ability to think strategically and work independently is a must. Ability to understand the global and regional strategic goals and priorities and how the portfolio supports them.  Strong knowledge of portfolio management methodologies and tools, including project selection methods, prioritization processes, and models to support portfolio decision making.  Sound financial acumen with the ability to reconcile budgets. Strong knowledge of program and project management processes and financial processes are required.  Must be highly analytical with a focus on business results.  Strong collaboration skills are required.  Must be a results-driven with ability to effectively execute a variety of activities concurrently across local and global organizations. Strong presentation, facilitation and communication skills and the ability to influence without authority are required.  Ability to translate data into information for executive audiences.  Proficient in use of standard office automation tools (Office 365), such as MS Excel, Word, PowerPoint, SharePoint.  Ability to work effectively with all levels of the organization.    "
77,1e90b327703a5b42c6961ef23e2994f1,https://www.mycareersfuture.sg/job/data-scientist-sensorflow-1e90b327703a5b42c6961ef23e2994f1,Data Scientist,Permanent,SENSORFLOW PTE. LTD.,"OXLEY BIZHUB, 61 UBI ROAD 1 408727",Professional,Information Technology,5000,8000,Monthly,23 Jan 2019,0,0,0,1,"Job Roles and Responsibilities This position is within the Data Science team where we constantly push for driving impact through data products or automating business decisions using advanced modeling techniques. We are looking for a Data Scientist with Machine Learning expertise to work on some exciting projects. Responsibilities  Selecting features, building and optimizing machine learning models Data mining using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analysis Follow CI/CD and productionize machine learning models Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytical systems Communicate, collaborate and work effectively across distributed teams Deliver business value and work with the senior team to aggressively push towards our vision of making smart buildings a reality ","Preferred Qualifications  Around 2-4 years of Data Science industry experience A great value for humility and a strong sense of ownership Excellent understanding of machine learning techniques and algorithms like regression, classification, clustering, neural networks, etc. Experience with common data science toolkits, such as R, Scikit-Learn, XGBoost, TensorFlow, etc. Experience working with distributed analytics engine like Apache Spark Good understanding of Statistics Ability to whiteboard a theory as well as roll up your sleeves and get coding Passion for learning new things and solving challenging problems Familiarity with SQL, relational and non-relational databases. Experience with Amazon Redshift is a plus. Proficiency in Python, and preferably in one other language like Java, JavaScript, etc. Ability to work independently and in cross-functional teams as needed to solve problems Kaggle experience / relevant open source contribution a huge plus "
78,ad08206598803824ebf0cf7780ecf07c,https://www.mycareersfuture.sg/job/research-associat-nanyang-technological-university-ad08206598803824ebf0cf7780ecf07c,Research Associat,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798",Professional,Sciences / Laboratory / R&D,3500,4500,Monthly,23 Jan 2019,1,0,0,0," Data Scientist / Programmer for Regional ATM Modernisation Programme Under the Air Traffic Management Research Institute (ATMRI) (http://atmri.ntu.edu.sg/), Nanyang Technological University, you will be part of ‘Regional ATM Modernisation Programme’ team to perform programming and data analytics for the ASEAN air routes and ATM operations in the region.  Primary Duties or Responsibilities Specifically, you will  Undertake research and development related to Air-space management & Data Analytics. Perform programming support for fast time and real-time simulation tools, doing analytics, and building high quality strategic planning system for future for Air Traffic Management (ATM) eco-system for the region. You will provide expertise on mathematical concepts for the broader applied analytics of flow management and inspire the adoption of advanced analytics and data science across the entire breadth of regional ATM system. Conduct stakeholder meetings to solicit input for development of systems. Interact with senior personnel such as project lead and ATC operations specialist on significant technical matters and coordinate with other specialist teams within programme.  Represent the Institute at regional/global ATM platforms, international forum/conferences. Occasional overseas travel may be required.  "," PhD/Masters/Bachelor’s degree in a relevant field. At least 3 years’ experience in any aviation-related fast-time simulation environment. Knowledge of tools like SAAM and AirTop will be an added advantage.  Strong programming skills in C++, Python, etc Experience in Data Science (knowledge in Aviation / Air Traffic Management  Good English writing and communication skills  Independent and team player   We regret that only shortlisted candidates will be notified."
79,f4a85908b1dea9966cfa8c8d0202bc82,https://www.mycareersfuture.sg/job/data-scientist-government-technology-agency-f4a85908b1dea9966cfa8c8d0202bc82,Data Scientist,Permanent,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,8000,Monthly,22 Jan 2019,0,0,0,1,"We are looking for Data Scientists who are interested in using data to draw insights that will result in policy changes or business process optimization, benefiting the public. The applicant will be scoping the project with stakeholders, using data sets across Government Agencies, applying business acumen to tease out relevant impactful insights, and presenting insights in a clear, concise manner by using appropriate visualizations. He/she should have some training and working experiences on data analytics, and should be comfortable with hands-on data manipulation, data modelling and data visualization. He/she should also be comfortable with engaging stakeholders on refining their business problems, and prioritizing the more potential impactful ones. The analytics work that we do are typically action oriented and cross-cutting across various domains such as social, economic and infrastructure sectors. Over time, he/she will gain exposure to various policy and ops domains and become more adept in bridging business users and technical expertise. What to Expect:  Work closely with stakeholders to understand their needs/pain points, scope the problem and develop business case on how to turn data into critical information and knowledge that are actionable, to be used for policy making, streamlining operations or developing solutions for citizens.  Perform data cleaning, pre-processing, feature engineering and build relevant models to conduct meaningful analysis. Know which visualization technique is appropriate to communicate the insight effectively. Iterate with the stakeholders to perform subsequent deep dives based on the initial insights. Depending on the required business needs, design of dashboards and interactive visualization as tools for data exploration Potentially deployed to other Government Agencies to be their resident Data Scientist. This will involve executing data analytics projects for the Agency, as well as providing data analytics consulting services to the Agency, which could include providing advice on how to structure analytics teams in the Agency, data analytics visioning, planning and implementation strategies to build strong pipeline of impactful projects  How to Succeed:  Bachelor Degree in Computer Science, Statistics, Economics, Quantitative Social Science, or related degrees. We will also factor in relevant certifications (e.g. Coursera) Minimum 2 years of relevant working experience, preferably in public sector or data science field Ability to take a broad, strategic perspective as well as drill deep to understand business needs and challenges Understand key concepts, techniques and considerations in machine learning and data analytics Training and relevant experience in one or more of the following areas:  Data science tools such as R, Python Visual analytics technologies like Tableau, Qlik   Excellent communication skills, both oral and written, with ability to pitch ideas and influence stakeholders Strong analytical, conceptualization and problem solving skills Team player with strong organization and people handling skills Passionate for the use of analytics and data to improve Public Service ",None
80,6ed5060f4b486e0148f169e6c3b9cc05,https://www.mycareersfuture.sg/job/data-scientist-government-technology-agency-6ed5060f4b486e0148f169e6c3b9cc05,Data Scientist,Permanent,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,8000,Monthly,22 Jan 2019,0,0,0,1,"We are looking for Data Scientists who are interested in using data to draw insights that will result in policy changes or business process optimization, benefiting the public. The applicant will be scoping the project with stakeholders, using data sets across Government Agencies, applying business acumen to tease out relevant impactful insights, and presenting insights in a clear, concise manner by using appropriate visualizations. He/she should have some training and working experiences on data analytics, and should be comfortable with hands-on data manipulation, data modelling and data visualization. He/she should also be comfortable with engaging stakeholders on refining their business problems, and prioritizing the more potential impactful ones. The analytics work that we do are typically action oriented and cross-cutting across various domains such as social, economic and infrastructure sectors. Over time, he/she will gain exposure to various policy and ops domains and become more adept in bridging business users and technical expertise. What to Expect:  Work closely with stakeholders to understand their needs/pain points, scope the problem and develop business case on how to turn data into critical information and knowledge that are actionable, to be used for policy making, streamlining operations or developing solutions for citizens.  Perform data cleaning, pre-processing, feature engineering and build relevant models to conduct meaningful analysis. Know which visualization technique is appropriate to communicate the insight effectively. Iterate with the stakeholders to perform subsequent deep dives based on the initial insights. Depending on the required business needs, design of dashboards and interactive visualization as tools for data exploration Potentially deployed to other Government Agencies to be their resident Data Scientist. This will involve executing data analytics projects for the Agency, as well as providing data analytics consulting services to the Agency, which could include providing advice on how to structure analytics teams in the Agency, data analytics visioning, planning and implementation strategies to build strong pipeline of impactful projects  How to Succeed:  Bachelor Degree in Computer Science, Statistics, Economics, Quantitative Social Science, or related degrees. We will also factor in relevant certifications (e.g. Coursera) Minimum 2 years of relevant working experience, preferably in public sector or data science field Ability to take a broad, strategic perspective as well as drill deep to understand business needs and challenges Understand key concepts, techniques and considerations in machine learning and data analytics Training and relevant experience in one or more of the following areas:  Data science tools such as R, Python Visual analytics technologies like Tableau, Qlik   Excellent communication skills, both oral and written, with ability to pitch ideas and influence stakeholders Strong analytical, conceptualization and problem solving skills Team player with strong organization and people handling skills Passionate for the use of analytics and data to improve Public Service ",None
81,5f3459ef82a41bdfb8e62598c18e9c16,https://www.mycareersfuture.sg/job/data-scientist-government-technology-agency-5f3459ef82a41bdfb8e62598c18e9c16,Data Scientist,Permanent,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,8000,Monthly,22 Jan 2019,0,0,0,1,"We are looking for Data Scientists who are interested in using data to draw insights that will result in policy changes or business process optimization, benefiting the public. The applicant will be scoping the project with stakeholders, using data sets across Government Agencies, applying business acumen to tease out relevant impactful insights, and presenting insights in a clear, concise manner by using appropriate visualizations. He/she should have some training and working experiences on data analytics, and should be comfortable with hands-on data manipulation, data modelling and data visualization. He/she should also be comfortable with engaging stakeholders on refining their business problems, and prioritizing the more potential impactful ones. The analytics work that we do are typically action oriented and cross-cutting across various domains such as social, economic and infrastructure sectors. Over time, he/she will gain exposure to various policy and ops domains and become more adept in bridging business users and technical expertise. What to Expect:  Work closely with stakeholders to understand their needs/pain points, scope the problem and develop business case on how to turn data into critical information and knowledge that are actionable, to be used for policy making, streamlining operations or developing solutions for citizens.  Perform data cleaning, pre-processing, feature engineering and build relevant models to conduct meaningful analysis. Know which visualization technique is appropriate to communicate the insight effectively. Iterate with the stakeholders to perform subsequent deep dives based on the initial insights. Depending on the required business needs, design of dashboards and interactive visualization as tools for data exploration Potentially deployed to other Government Agencies to be their resident Data Scientist. This will involve executing data analytics projects for the Agency, as well as providing data analytics consulting services to the Agency, which could include providing advice on how to structure analytics teams in the Agency, data analytics visioning, planning and implementation strategies to build strong pipeline of impactful projects  How to Succeed:  Bachelor Degree in Computer Science, Statistics, Economics, Quantitative Social Science, or related degrees. We will also factor in relevant certifications (e.g. Coursera) Minimum 2 years of relevant working experience, preferably in public sector or data science field Ability to take a broad, strategic perspective as well as drill deep to understand business needs and challenges Understand key concepts, techniques and considerations in machine learning and data analytics Training and relevant experience in one or more of the following areas:  Data science tools such as R, Python Visual analytics technologies like Tableau, Qlik   Excellent communication skills, both oral and written, with ability to pitch ideas and influence stakeholders Strong analytical, conceptualization and problem solving skills Team player with strong organization and people handling skills Passionate for the use of analytics and data to improve Public Service ",None
82,2679aeb5e81108b7ee2c4c1b0dd23e5a,https://www.mycareersfuture.sg/job/lead-data-scientist-bigtapp-2679aeb5e81108b7ee2c4c1b0dd23e5a,Lead Data Scientist,Full Time,BIGTAPP PTE. LTD.,79 AYER RAJAH CRESCENT 139955,Senior Executive,"Consulting , Information Technology",80000,100000,Annually,22 Jan 2019,0,0,0,0,"The position involves leading a cross-country team of Data Scientists to provide Data Science (AI, ML & DL) based solutions to our customers in the region. The job scope includes pre-sales, proposal creation and delivery of Data Science solutions, optionally leveraging BigTapp's NLP IP. Job entitles frequent short to medium term travel in ASEAN to handle our prospects & customers.","Minimum of 6 to 8 years of Data Science experience covering Big Data toolsets and open source tool sets like R, Phython and Scala. Experiece in key consumer focused domains like Telco and/or Banks is mandatory. Experience in Text Analytics is mandatory. Experience in managing virtual teams spread across time zones."
83,1e4b65d73868c93d76a8689696eb10f9,https://www.mycareersfuture.sg/job/research-assistant-associate-national-university-singapore-1e4b65d73868c93d76a8689696eb10f9,Research Assistant  /  Associate (Software Engineer),Contract,NATIONAL UNIVERSITY OF SINGAPORE,21 LOWER KENT RIDGE ROAD 119077,Fresh/entry level,Sciences / Laboratory / R&D,2600,4200,Monthly,22 Jan 2019,1,0,0,0,"The position of Research Assistant/Associate (Software Engineer) is immediately available in the laboratory of Dr. Jason Pitt, which integrates data science and biological expertize to facilitate novel discoveries in cancer genomics. The Pitt Laboratory achieves this by developing cutting-edge software that allow cost-effective identification, harmonization, and interrogation of large genomic datasets. Collectively, we refer to this domain as genome economics. Successful candidates will interact closely with the Data Science and Learning Division of Argonne National Laboratory (USA) as well as our industrial partners. This position provides a rare opportunity to utilize Amazon Web Services, Amazon Alexa, data-intensive computing, natural language processing, and artificial intelligence. RESPONSIBILITIES Participate in the development of: 1) Melvin, a virtual genome analysis assistant using Amazon’s Alexa technology  Build upon a functional prototype Design and implement optimal client/server solutions Contribute to all stages of the software development life cycle  2) The Scalable Workflows for the Analysis of Genomes (Swag) framework  Optimize of bioinformatic tools for cost and accuracy Facilitate large-scale analytics on HPC and commercial clouds     ","REQUIREMENTS  Bachelors or Masters degree (minimally) in computer science, information systems, bioinformatics, engineering, mathematics, or related fields Strong Python programming skills and proficiency with Unix-based systems Working knowledge of databases (SQL, NoSQL, Elasticsearch, etc.) Record of problem-solving and robust design skills Excellent written and spoken English  PREFERENCES  Basic knowledge of biology and genetics Familiarity with Amazon Web Services Interest in computational linguistics "
84,0c8fc6abc24de73c51141ebf4ead1d47,https://www.mycareersfuture.sg/job/research-assistant-national-university-singapore-0c8fc6abc24de73c51141ebf4ead1d47,Research Assistant,Contract,NATIONAL UNIVERSITY OF SINGAPORE,21 LOWER KENT RIDGE ROAD 119077,Non-executive,Sciences / Laboratory / R&D,30000,58200,Annually,22 Jan 2019,1,0,0,0,"The National University of Singapore invites applications for the position of Research Assistant in the Institute of Data Science. The Research Assistant will be responsible for working closely with Prof Wynne Hsu and Prof Lee Mong Li on the “Mitigating Fake News Propagation” project to examine  how the social network structure and message content contribute to the spread of fake news, and to develop state-of-the-art techniques for detecting fake news early, and identifying users that can help to block the spread of misinformation.", A Master or Bachelor degree with Honours in Computer Science Proficient in programming and user interface design Experience in system development and social network analysis. 
85,0b01058acbfe285d543e5fc532a6c122,https://www.mycareersfuture.sg/job/data-scientist-dell-global-bv-0b01058acbfe285d543e5fc532a6c122,Data Scientist,Full Time,DELL GLOBAL B.V. (SINGAPORE BRANCH),"MARINA BAY FINANCIAL CENTRE, 8 MARINA BOULEVARD 018981",Middle Management,Information Technology,8000,16000,Monthly,21 Jan 2019,0,0,0,0,"Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. We are actively looking for talented and motivated individuals to join our Supply Chain Data Analytics and Automation team. If you are curious by nature and inspired by how data is changing the world, then we are interested in talking with you. You should excel and thrive in a fast paced, collaborative and iterative environment. You’re driven to show the world the power of data and applied analytics and loves learning, data, scale and agility as well as excel in making complex concepts simple and easy to understand by those around you. Roles and responsibilities   Provide data science services and work with stakeholders to assess demands and suggest data science methods that provide practical, value-added answers for the company.   Comfortable with or are highly motivated to learn and apply database tools and statistical predictive models by analyzing large datasets with a variety of tools (R, Python, SQL, Microstrategy, Microsoft PowerBI and Tableau)   Develop and deliver data science solutions to further advance Dell’s competitiveness in the areas of global supply chain and operations   Passionate about asking and answering questions in large datasets and have a strong desire to create strategies and solutions that challenge and expand the thinking of everyone around you.    Deep dive into data to find answers to yet unknown questions and have a natural desire to go beneath the surface of a problem.   Ask relevant questions and possess the skills to build algorithms necessary to find meaningful answers.   Possess ability to think strategically about how to use data to drive competitive advantages.   Creatively visualize and effectively communicate data findings and insights in a variety of formats.   The position offers   Opportunity to drive cutting-edge strategies and digital solutions for one of the industry’s most respected supply chain   Access and interaction with executive leadership team at a Fortune 50 company   Opportunity to work with a highly motivated team that invests in your development   A commitment to diversity and inclusion   Competitive compensation including bonus plans and a great benefit package   Exciting internal career opportunities to different roles  ","Role requirements   MS or higher in Engineering, Statistics, Computer Science, or Data Sciences (or equivalent experience)   Advanced knowledge of statistics utilizing statistical programming languages (R, Python, etc.)   BI, Data Mining, Machine Learning experience   Experienced in data management and building packages   Experience with measuring and maintaining data quality   Proficient in SQL   Prefer to have advanced knowledge of Microsoft BI Stack or Pivotal Stack  "
86,38969bf8c12ff2a72f1e27e73b8e883a,https://www.mycareersfuture.sg/job/data-scientist-ntuc-link-38969bf8c12ff2a72f1e27e73b8e883a,Data Scientist,Full Time,NTUC LINK PRIVATE LIMITED,,"Junior Executive, Senior Executive",Information Technology,5000,10000,Monthly,21 Jan 2019,0,0,0,0,"NTUC Enterprise is in the midst of its digital transformation to becoming a data-driven organization. Significant emphasis is placed on extracting value from the data we capture and deploy across our businesses. The 7 entities under the NTUC Enterprise umbrella comprise a range of industries: FairPrice (retail), Income (insurance), Unity (healthcare), FoodFare (F&B), LearningHub (training), First Campus (education), Link (loyalty). The leaders of these groups are keen to tap on data science to drive growth, deliver customer service, and create personalised experiences. This is a great opportunity to be working with some of the most diverse data sets in Singapore. POSITION SUMMARY: We are seeking a candidate with strong advanced analytics experience to fill a data scientist position within NTUC Advanced Analytics Centre’s Customer and Digital Analytics team. This team has oversight on all analytics related to our loyalty program’s customer database, deals and rewards mobile app, and digital marketing. The role will be responsible for executing a mix of business analytics and data science, geared towards i) delivering valuable insights to aid business strategy; ii) developing predictive analytics models to increase customer engagement and personalise offers. You will be proficient in the application of analytics and data science to customer transaction data, web/app clickstream data, and unstructured data in areas such as customer segmentation and targeting, acquisition and retention, cross-sell and up-sell propensity, and recommender systems. Responsibilities: ·       Work closely with business units to understand their priorities on an ongoing basis. ·       Help define an analytical strategy to address the identified opportunities, covering analytical approaches, data requirements and technology requirements. ·       Work with various teams to plan, identify, collect and integrate data from multiple systems. ·       Automate workflows for feature engineering and model updating. ·       Develop machine learning models and perform statistical analysis to solve problems in the following domains: customer segmentation, acquisition and retention, cross-sell and up-sell propensity, recommender systems. ·       Perform A/B testing of prototypes on marketing campaigns. ·       Communicate with machine learning engineers to support the productionisation of prototypes. ·       Communicate and present analytical findings and recommendations to senior management and key business stakeholders.","  Requirements: ·       Masters in Statistics, Mathematics, Computer Science, Operations Research, Physics, Economics, Data Analytics, or a related quantitative field. ·       Familiarity with consumer marketing, and with relevant industry experience in retail, consumer goods, ecommerce, technology, or consumer banking/insurance. ·       Good understanding of statistical analysis, data mining and machine learning. ·       Experience in working with large structured and unstructured data sets. Familiarity with streaming event data from web/app analytics is an advantage. ·       Prior exposure to web analytics tools like Google Analytics/GA 360/Adobe Catalyst, and knowledge of tag management and data layer setup in Martech/Adtech is an advantage. ·       Proficiency in at least two of the following languages/tools: R, Python, Spark, Scala, Hive, SQL. ·       Working knowledge of BI and visualisation tools like Tableau/Qlik/Power BI. ·       Team player who is able to build strong partnerships and collaborations."
87,88c018cd55c2edf7aec32353b73a61a7,https://www.mycareersfuture.sg/job/data-architect-enterprise-architecture-office-avensys-consulting-88c018cd55c2edf7aec32353b73a61a7,"Data Architect, Enterprise Architecture Office",Permanent,AVENSYS CONSULTING PTE. LTD.,"VERTEX, 33 UBI AVENUE 3 408868",Manager,Information Technology,7000,12000,Monthly,21 Jan 2019,0,0,0,1,"Primary Responsibilities  Development of data architecture, strategy and governance to support business, application, security and technology strategic analysis and decision making  Assessment of current and target states of the data architecture to align with strategic or tactical objectives and to develop recommendations to close the gaps Integrate cloud and on premise data warehouses and data lakes with metadata management, for powerful data-driven solutions Be a trusted architect adviser to the management team and also give direction to guide the teams in solution design and implementation, being knowledgeable of data analytics trends Presents roadmaps and architecture landscapes to senior stakeholders to fulfill the organization’s data science, cognitive, analytics and reporting requirements Evaluation of data related technologies, and defining best practices in the assessments of standards, tools and methodologies including ETL development, to perform hands on data analysis Create innovations in both analytic algorithms and methodologies with business impact. Responsible for the end-to-end process of analytical solutioning, involving conceptualization and business engagement Ensures data quality and performs data cleansing to ensure a single source of truth, to enable data as a service for business units and front-end applications to consume Perform quality review of data modeling design and deliverable, leading work sessions and deliverable presentations with business stakeholders Manage architecture and technology governance committee agenda to ensure data, security and technology requirements aligned to enterprise standards and policies Create a digital working experience for Information Management (IM) staff and hold regular TechTalks Engagements to share best of breed technologies in the market  ","Requirements  Bachelors or Master’s Degree in Computer Science, Information Technology, or equivalent • Minimum of 10 years IT experience and 5 years in data architecture, strategy, modeling and tools At least 5 years design & development experience in enterprise data warehousing and analytics projects Expert in Oracle, MSSQL, MYSQL database technologies Best practices using data solutions using Hadoop, Cloudera, Spark, Kafka, MongoDB, NoSQL, Cassandra, Graph, etc Familiar with Tableau, Microstrategy, Qlikview, Informatica, Talend, Hive and HBase Understands machine learning, statistics, natural language processing, sentiment analysis, graph analysis, augmented and virtual reality  Proficient in handling complex technical development concepts, latest software tools and technologies, strong database concepts and designing techniques Excellent in working effectively in a multi-tasking environment, ability to prioritize competing tasks Fluency and efficiency in creating technical architecture documentation, presentations and stakeholder pitches  TOGAF or other industry recognized architecture certifications preferred Clear communicator with excellent oral and written skills and experience interacting with both business and IM individuals at all levels including the executive level Possess the personal attributes of integrity, trust and credibility, hungry for results and show perseverance. A good listener, customer oriented, strong interpersonal skills Creative thinking skills with deep technological expertise, business acumen and software development background "
88,42782b4202a77ba52d28bd9df5fafaf5,https://www.mycareersfuture.sg/job/head-customer-insights-analytics-hooq-digital-42782b4202a77ba52d28bd9df5fafaf5,Head of Customer Insights and Analytics,Permanent,HOOQ DIGITAL PTE. LTD.,"COMCENTRE, 31 EXETER ROAD 239732",Middle Management,"Customer Service, Marketing / Public Relations ",7000,20000,Monthly,21 Jan 2019,0,0,0,1,"We are looking for a Head of Customer Insights & Analytics to help uncover strategic and consumer insights and expose our customer’s experience.  This person will work with data science and business intelligence by mapping specific consumer behaviour and event based data sets. We need someone to help lead the charge on the data and analytical side of HOOQ customer experience by providing a robust set of tools across departments that creates actionable insights and customer and data centric KPIs for other team members. Responsibilities   Establish customer journey mapping methodology and data capture strategy and implementation   Dashboard/scorecard creation, curation, and maintenance to assist with strategic decision making and distribution up to the board level   Provide regular reporting and analysis across the organization that helps problem solve and identify areas of improvement   Map native data collection programmes and follow through to systemic implementation   Extract insights from existing data sets to help us better understand customer behaviour that feeds product, content licensing, and marketing decisions   Utilize data to drive intelligent insights that are measurable and help improve/enhance CX and existing KPI’s across multiple business units to be more customer focussed   Work closely with strategy and implementation in order to support implementation of strategic initiatives with data   Experience Requirements   Ability to lead the charge in a fast paced environment and be a self-starter.  Demonstrate a history of working across departments and with both BI and DSE   Ability to comprehend and direct the extraction of insights from robust data sets, but to also recognize and identify areas of improvement for data collection and analysis   Basic understanding of customer segmentation for both profile generation and market research needs   Working understanding of SQL and/or experience with Jaspersoft   Sufficient experience in CLM and CRM to be able to identify and recommend logical and data based paths forward to improve user experience or generate revenue, and translate this into projects or actionable items   Experience with automation and creation of dashboards based on input from different business units   Has managed people before in this field of expertise   Experience working in a Telco and an understanding of bundling and different Telco billing models  ","Skill Requirements   Bachelor’s degree or equivalent in related fields   8+ years in CRM/CLM and/or BI experience   BI/Business Analytics and telco experience/DSE are desirable   SQL and/or experience with working with BI/Analytics software platforms   Experience in using Jaspersoft, SAS, Tableau or other BI related tools.     Effective cross functional communication, self-starter.   *only shortlisted candidates will be contacted."
89,ae51b760eb69abac1468b59c8bbaae6e,https://www.mycareersfuture.sg/job/data-scientist-lynx-analytics-ae51b760eb69abac1468b59c8bbaae6e,Data Scientist,Full Time,LYNX ANALYTICS PTE. LTD.,,Junior Executive,Information Technology,4000,5500,Monthly,21 Jan 2019,0,0,0,0,"Reporting to the CIO, this role in an integral part of the Data Science team. We are looking for experienced Data Scientists to work on and lead complex data analysis projects using standard modelling and data transformation approaches as well as Lynx's proprietary graph analysis system. You should be comfortable working with very large data sets residing in different data stores in disparate formats. The role requires the candidate to be strong with hands-on implementation as well have the potential to move fast onto a high growth career trajectory.   ","Requirements    ● Industry experience in data mining and/or data science   ● University degree in a technical field (Mathematics, Statistics, Economics, Computer Science or Engineering) ● Strong probability theory and statistics knowledge   ● Knowledge of some statistical tools.   ● Ability to write programs in some programming language (e.g. R/Python) - software engineer skills to design    and implement complex software systems is NOT needed, but  the candidate is expected to be able to write simple code to prototype and test analytical ideas   ● Good problem-solving skills   ● Knowledge of RDBMS systems (Oracle, Teradata, MySQL etc.)   ● Excellent verbal and written communication skills   ● Some leadership experiences   ● Fluency in English   ● Willingness to travel - Up to 50% travel across the region will be required  Desirable  ● Experience in Big Data  ● Experience in data science or analytics "
90,453756538d7a2032c6610700c47800aa,https://www.mycareersfuture.sg/job/teaching-associate-digital-literacy-453756538d7a2032c6610700c47800aa,Teaching Associate- Digital Literacy,"Contract, Full Time",Company Undisclosed,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798","Professional, Executive",Education and Training,3000,4500,Monthly,21 Jan 2019,1,0,0,0,"Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked 12th globally. It is also placed 1st among the world's best young universities. The School of Physical and Mathematical Sciences at NTU invites applications for a position at the rank of Teaching Associate. Incumbent to this role will assist our Lecturers and Professors in teaching and/or teaching-related duties, that includes but not limited to conducting tutorial lessons, developing teaching materials, grading assignments and providing formative feedback to students in their learning. We are looking for candidates with at least an Honours with Distinction or Second Upper Honours (or equivalent) degree in Mathematics/Computer Science or a closely related field. The candidate should also possess:  Knowledge in programming languages such as Python, R, Data Science and AI will be advantageous for courses related to digital literacy. Some experience in teaching and tutorial preparation will be desirable. Knowledge in the designing and development of instructional and teaching materials will be advantageous but not a pre-requisite. Excellent communication skills. Passion for teaching. Capability to provide guidance and coaching to students.  Salary will commensurate with the candidate's qualifications and experience. To apply, please refer to the Guidelines for Submitting an Application for Faculty Appointment at: http://www.ntu.edu.sg/ohr/career/submit-an-application/Pages/Faculty-Positions.aspx and send your application package and any enquiries to spmssearchcommittee@ntu.edu.sg. ",Refer to Job Description
91,bfad64cc7b258a3b5c40680d9a78698c,https://www.mycareersfuture.sg/job/product-management-lead-bfad64cc7b258a3b5c40680d9a78698c,Product Management Lead,Full Time,Company Undisclosed,,"Senior Management, Middle Management, Manager",Information Technology,13000,15000,Monthly,21 Jan 2019,0,0,0,0," Shape the overall product vision and roadmap to take Grab from a start-up to a regional powerhouse. Collaborate with engineering and design to define an ambitious strategy, develop and maintain a prioritized product backlog, and execute on delivering great experiences for users. Define and communicate product requirements and specifications by thinking creatively and rigorously about how to solve problems that have never been solved before at this scale. Ensure strong collaboration and communication across the company and serve as a primary point of contact for internal stakeholders across nearly all functions in the company - marketing, sales, operations, data science, engineering, content, customer service, payments and IT. Collect data, user feedback, and market research, and use that to inform product development. "," 5+ years in a product/program management experience at a tech software company Demonstrated success in delivering compelling products in a high growth, fast paced, rapidly changing environment Experience creating easy to use, delightful user interfaces Excellent written and verbal communication skills Payments/eCommerce/Financial Services experience would be preferred. Bonus Points: Programming experience, avid Grab user, Consumer tech experience "
92,5420c69c48462806b30e4cd9fc0fbdc1,https://www.mycareersfuture.sg/job/product-manager-5420c69c48462806b30e4cd9fc0fbdc1,Product Manager,Full Time,Company Undisclosed,,"Senior Management, Middle Management, Manager",Information Technology,10000,12000,Monthly,21 Jan 2019,0,0,0,0," Shape the overall product vision and roadmap to take Grab from a start-up to a regional powerhouse. Collaborate with engineering and design to define an ambitious strategy, develop and maintain a prioritized product backlog, and execute on delivering great experiences for users. Define and communicate product requirements and specifications by thinking creatively and rigorously about how to solve problems that have never been solved before at this scale. Ensure strong collaboration and communication across the company and serve as a primary point of contact for internal stakeholders across nearly all functions in the company - marketing, sales, operations, data science, engineering, content, customer service, payments and IT. Collect data, user feedback, and market research, and use that to inform product development. "," 5+ years in a product/program management experience at a tech software company Demonstrated success in delivering compelling products in a high growth, fast paced, rapidly changing environment Experience creating easy to use, delightful user interfaces Excellent written and verbal communication skills Payments/eCommerce/Financial Services experience would be preferred. Bonus Points: Programming experience, avid Grab user, Consumer tech experience "
93,5b33dc347c1e8c73c279d970fe8f4116,https://www.mycareersfuture.sg/job/product-manager-5b33dc347c1e8c73c279d970fe8f4116,Product Manager,Full Time,Company Undisclosed,,"Senior Management, Middle Management, Manager",Information Technology,7500,9000,Monthly,21 Jan 2019,0,0,0,0," Shape the overall product vision and roadmap to take Grab from a start-up to a regional powerhouse. Collaborate with engineering and design to define an ambitious strategy, develop and maintain a prioritized product backlog, and execute on delivering great experiences for users. Define and communicate product requirements and specifications by thinking creatively and rigorously about how to solve problems that have never been solved before at this scale. Ensure strong collaboration and communication across the company and serve as a primary point of contact for internal stakeholders across nearly all functions in the company - marketing, sales, operations, data science, engineering, content, customer service, payments and IT. Collect data, user feedback, and market research, and use that to inform product development. "," 5+ years in a product/program management experience at a tech software company Demonstrated success in delivering compelling products in a high growth, fast paced, rapidly changing environment Experience creating easy to use, delightful user interfaces Excellent written and verbal communication skills Payments/eCommerce/Financial Services experience would be preferred. Bonus Points: Programming experience, avid Grab user, Consumer tech experience "
94,0b6b1075e3b14f0b69f410647f6722d8,https://www.mycareersfuture.sg/job/data-science-intern-singapore-gunvor-singapore-0b6b1075e3b14f0b69f410647f6722d8,"Data Science Intern (6 Months), Singapore",Internship,GUNVOR SINGAPORE PTE. LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Junior Executive,Others,,,,19 Jan 2019,0,1,0,0,"Overview of Role The person will join the Cross Barrel trading desk and will learn and gain insights about trading operations and processes. This is an exciting opportunity for students with keen interest in the commodity trading industry, and will allow him/her to gain more insight into how a trading business is built and maintained. The candidate will focus on the data acquisition and treatment aspect: supporting desk Quantitative Analyst by identifying and on-boarding relevant datasets, and assist the development of Machine Learning techniques to extract information from datasets. Main Responsibilities  Collaborate with quantitative and fundamental analyst to identify and on board relevant datasets Help elaborating automatic dataset cleaning process Help develop machine learning algorithms to interpret those datasets automatically Work closely with current trading team and analysts to identify trading opportunities Analyze market trends and gather market intelligence to help the team to make more informed decisions Perform other ad-hoc duties assigned by manager ","Candidate’s Profile The individual should have the following experience:  Minimum Bachelor’s Degree in Statistics, Computer Science or Finance Strong IT skills (Python and MongoDB. C++ or C# would be a plus) Strong statistics and modeling background (including Classification Algorithms, Machine Learning, etc.…) Strong knowledge of financial markets and financial derivatives Prior trading/commodities house experience will be advantageous, but not necessary Strong verbal and written communication skills in English Inquisitive and meticulous with strong analytical and computational skills Self-motivated and able to work independently and as a team player Ability to work under pressure "
95,39b5db50208d9233a67ccb842c22285f,https://www.mycareersfuture.sg/job/lead-data-scientist-jewel-paymentech-39b5db50208d9233a67ccb842c22285f,Lead Data Scientist,"Permanent, Full Time",JEWEL PAYMENTECH PTE. LTD.,"TECHLINK, 31 KAKI BUKIT ROAD 3 417818",Professional,Information Technology,8000,12000,Monthly,19 Jan 2019,0,0,0,1,"As a Lead Data Scientist, you’ll drive the Data Science Team and work closely with senior management. Our ideal candidate is results-focused, innovative and has a solid quantitative background and a good business understanding. Responsibilities Jewel Paymentech is looking for a highly-motivated person to lead the Data Science Team and support us in developing cutting edge fraud and risk management solutions.  Lead a multi-disciplined team that will take full ownership of turning discoveries and ideas into functional models. You’ll use the model’s output to create and improve products for our customers, preferably in short development cycles Guide and mentor others in the Data Science Team on the methodologies best suited to solve real-world issues Build, test and deploy machine learning models to combat fraud and other payment risk issues Lead Research & Development efforts on how to improve and take Data Science at Jewel to the next level "," Requirements  Seven or more years of relevant work experience (including at least one year of exposure to payments, banking or FinTech) BSc, Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) Excellent English communication skills; the ability to convey your message to team members and other stakeholders Proficient in Python and Scikit-Learn/Pandas Proficiency in using Amazon Web Services Proficiency in using any graph databases: Neo4J, OrientDB, AllegroGraph, JanusDB, etc.Proficiency in Spark ML/MLLib Additional advantage with proficiency in Natural Language Processing Additional advantage with proficiency in using Keras, TensorFlow, Caffe, Torch/PyTorch, Theano, mxnet or any other Deep Learning framework Prior experience with some of the following models: Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Game Theory, Mechanism Design and/or Latent Dirichlet Allocation (LDA) "
96,38ad00cacb9beddc5e5b4a206592fd8f,https://www.mycareersfuture.sg/job/senior-data-engineer-jewel-paymentech-38ad00cacb9beddc5e5b4a206592fd8f,Senior Data Engineer,"Permanent, Full Time",JEWEL PAYMENTECH PTE. LTD.,"TECHLINK, 31 KAKI BUKIT ROAD 3 417818",Professional,Information Technology,8000,10000,Monthly,19 Jan 2019,0,0,0,1,"As a Senior Data Engineer you will get to work on a wide range of problems using the cutting-edge technologies in Big Data and Data Science. You are required to translate Data Science and Machine learning based solutions into scalable code, and to develop innovative solutions to collect/cleanse/store/process data. In case you are very passionate about building high throughput, low latency, fault tolerant software then this position is for you.   To be successful in this role, you will need to: •               Analyze requirements and deliver solutions that meet requirements. •               Write code by using best software development practices. •               Produce code that meets security standards. •               Estimate timelines and deliver solutions within agreed timeline. •               Write clear & concise documentation for solutions/code. •               Contribute ideas within team to build better code. •               Continuously improve knowledge on new technologies. •               Excellent in English, both written and spoken.  ","Education & Experience which will be relevant •    Three or more years of relevant work experience. •     B.Sc., Masters, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.). •    Knowledge in the use and application of Python to develop complex software. •    General machine learning techniques and technologies (e.g., Bayesian classifiers, regression techniques, graphical models, working with unbalanced data-sets) as well as applications (e.g., predictive analytics). •     NoSQL Database Programming/Development. •     Manipulation of various types of data; data cleaning, filtering, and pre-processing for example with text/images. •     Knowledge and experience in the use of cloud computing platforms (AWS/Azure/GCP/etc). •     SQL familiarity and database technologies (e.g., row versus column stores, in-memory DB, DB clustering, HA for DB). •     Familiarity and experience with Linux environments. •     Understanding batch (e.g., Apache Hadoop / Map Reduce) and stream processing approaches / frameworks (e.g., Apache Spark).   You’re a perfect fit us if you are •    A master problem solver, and able to use own initiative to develop suitable solutions. •    A strong communicator with the ability to convey information to others in a simple and unambiguous way. •    An innovative, original thinker approach to job responsibilities, methods and processes. •    An energetic person who can be trusted to get a job done.  "
97,c5249dadfaa3fb17f3159b965637a8f3,https://www.mycareersfuture.sg/job/vp-analytics-project-manager-dbs-transformation-group-to-dbs-bank-c5249dadfaa3fb17f3159b965637a8f3,"VP, Analytics Project Manager, DBS Transformation Group, T&O (190000A3)",Full Time,DBS BANK LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Senior Management,Information Technology,10400,18700,Monthly,18 Jan 2019,0,0,0,0,"Business Function   Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.     Responsibilities     Drive AI/ML @Scale agenda around Standard AI/ML practices, re-usable assests, Model governance etc. Management of end to end data science Data Science process Environment management for analytics cluster for ACOE Drive the adoption of the best practice and asset across enterprise Drive the adoption of advance analytic capability  on ADA across enterprise Asset building and management on Sharepoint Oversight of tools like SAS, QlikView  "," Bachelor Degree in Computer Science or equivalent with relevant working knowledge of DS/ML/AI frameworks  Familiar with all phases of the project lifecycle, from requirements gathering through design, development and deployment Understand AGILE methodology and have worked in AGILE development environment Experience in managing project implementations and relevant project experience in a banking environment is an advantage.  Able to develop positive stakeholder relationships, through effective engagement and communications Possess excellent verbal and written communication skills.. Proactive and able to work under pressure, strong problem-solving skills and positive attitude Ability to work effectively as individual or with a team to understand and interpret requirements leading to successful technical implementation. Should be self-driven and work independently  Strong articulation, liaising and facilitation skills. Ability to take ownership and deliver results "
98,82e5c7f96731c649be458de6f1a11779,https://www.mycareersfuture.sg/job/project-manager-capgemini-singapore-82e5c7f96731c649be458de6f1a11779,Project Manager,Permanent,CAPGEMINI SINGAPORE PTE. LTD.,6 BATTERY ROAD 049909,Professional,Engineering,5000,7500,Monthly,18 Jan 2019,0,0,0,1,"Activities: • Ensure project delivery is on time, on quality and on budget. • Ensure Data Standards are applied on the project (see Data Architect and Data Manager role). • Build and animate the user community to retrieve as much feedbacks as possible. • Evolve and communicate product/project vision and high-level roadmap. • Identify key problems/opportunities, prioritize resolutions within sprints or releases. • Build and maintain a prioritized product backlog by slicing and staging implementation of complex features. • Interact on a day-to-day basis with architecture and development teams to answer their questions as they arise and ultimately, reach a shared understanding of what is to be built. • Facilitate discussion, decision making, and conflict resolution. • Assign tasks to the team to maximize team’s productivity and anticipate staffing moves. • Promote use of agile methodology within AXA entities. Support and educate other Product Owner, project managers and management to key concepts and practices of product flow development. • Facilitate agile practices adoption and usage of tools.  Skills: • Previous experience as a Product Owner or Project Manager. • Strong data background. • Master agile methodologies for software development. • Good communication and problem-solving skills. • Knowledge of IT, data science and engineering technologies.","Activities: • Ensure project delivery is on time, on quality and on budget. • Ensure Data Standards are applied on the project (see Data Architect and Data Manager role). • Build and animate the user community to retrieve as much feedbacks as possible. • Evolve and communicate product/project vision and high-level roadmap. • Identify key problems/opportunities, prioritize resolutions within sprints or releases. • Build and maintain a prioritized product backlog by slicing and staging implementation of complex features. • Interact on a day-to-day basis with architecture and development teams to answer their questions as they arise and ultimately, reach a shared understanding of what is to be built. • Facilitate discussion, decision making, and conflict resolution. • Assign tasks to the team to maximize team’s productivity and anticipate staffing moves. • Promote use of agile methodology within AXA entities. Support and educate other Product Owner, project managers and management to key concepts and practices of product flow development. • Facilitate agile practices adoption and usage of tools.  Skills: • Previous experience as a Product Owner or Project Manager. • Strong data background. • Master agile methodologies for software development. • Good communication and problem-solving skills. • Knowledge of IT, data science and engineering technologies."
99,3dd2b79a6614c85d98d53a9e242297a5,https://www.mycareersfuture.sg/job/vp-technical-delivery-manager-middle-office-technology-technology-operations-dbs-bank-3dd2b79a6614c85d98d53a9e242297a5,"VP, Technical Delivery Manager, Middle Office Technology, Technology & Operations (190000AE)",Full Time,DBS BANK LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Senior Management,Information Technology,10400,18700,Monthly,18 Jan 2019,0,0,0,0,"Business Function  Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.   Responsibilities   Scrum Master / Technical Project Delivery  Formulate the business / technical architecture of the Audit platform.  Work with the development leads to ensure that the business functionality is complete and aligned to the strategic platform direction. Align the technical solutions to the Technology & Operations roadmap. Build Audit AI engines in collaboration with the internal Data Science team and deliver to a production environment  Drive project and program delivery  Responsible for ensuring project delivery on time on schedule and with quality Effectively communicate with team members and stakeholders in a timely and clear fashion. Identify and resolve issues and conflicts within the program, projects and project management community and with other stakeholders if necessary.  Resolve issues at the project or line level and escalate issues which cannot be resolved in a timely and accurate manner.  Manage key stakeholders and business and technology leads  Manage and communicate effectively with domain leads at senior level and working level teams.  Responsible for ensuring project steering committee meetings, cross function meetings and other key project meetings are effective and achieve objectives on a consistent manner.  Change management  Ability to drive the adoption of agile methodology across teams  Able to work with users to drive changes within the organization for projects implementation Develop best practices and tools for project execution and management. Ensure utilization of standards and practices across all projects. "," At least 10 years of solid IT experience Certified Scrum Master Must have implemented large programs using Agile methodology Understanding of AI model development Excellent presentation, analytical and articulation skills Self-starter and extremely hands on in the management of projects Demonstrated interaction and working with all levels of management. Education – Degree in Computer Science or Engineering. Experience in using a project management tool like HP PPM, CA PPM. Knowledge/understanding of latest cloud technologies  Proficiency in Microsoft Project, Visio, PowerPoint, Excel, SharePoint 2013, JIRA and Confluence Domain knowledge in audit, core banking, finance, risk and support applications.  "
100,16be2a5fbb554c4474d25ba48defb8c9,https://www.mycareersfuture.sg/job/senior-product-development-engineer-16be2a5fbb554c4474d25ba48defb8c9,Senior Product Development Engineer (71663),"Permanent, Full Time",Company Undisclosed,,Executive,Engineering,4500,7000,Monthly,18 Jan 2019,0,0,0,1,"Sr Engineer, Data Science We are looking for a sr. software engineer to support our global delivery of world-class products.  The ideal candidate will have professional experience developing and deploying big data solutions with a strong desire to learn new technologies and to help build better tools in a team environment. Responsibilities:  Full-stack Engineering 	 Data warehouse development Manage data pipeline integrity and quality Analytics in Spark Optimization/troubleshooting of low performing and failing jobs Solution development with a production end-state in mind Review code and provide peer feedback relative to best practices Work closely with architects to deliver appropriate technical solutions   Interact professionally with business partners and key contacts Own new features from design to production release Work with product management and operations in an Agile environment Participate in resolution of production issues and lead efforts toward solutions  Grow a high-performance production environment in a way that makes the system increasingly reliable   "," BS in Computer Science and 5 years of experience (or MS and 3 years of experience) 4+ years of professional Java software development experience 3+ years of demonstrated Hadoop experience with hands on experience with Spark, MapReduce, HBase, Hive, Phoenix or Yarn 2+ years of experience with business intelligence tools such as Tableau or Power BI   Excellent communication skills with ability to work well cross-functionally across teams Analytical problem solver passionate about delivering a high-quality solutions Practical experience managing full software lifecycles  Preferred Skills:  Background in statistics and analytics Experience in cloud deployments (Azure/AWS) Experience with Git best practices Experience with Agile software development principles Familiarity with JIRA issue management system and development workflows "
101,516ddf54b455c05897a600b4c8a99832,https://www.mycareersfuture.sg/job/senior-analytics-manager-data-scientist-palo-singapore-516ddf54b455c05897a600b4c8a99832,Senior Analytics Manager - Data Scientist,"Permanent, Full Time",PALO IT SINGAPORE PTE. LTD.,51B CIRCULAR ROAD 049406,Professional,Information Technology,6000,12000,Monthly,17 Jan 2019,0,0,0,1,"Your profile & role on the project YOU:  Thrive on challenge. When was the last time you failed? Are curious & always learning. What are you up to right now? Can deal with constant change. When were you last surprised? Have mastered at least one skill of your trade but you’re not defined by it. What can you teach us? Can you wear many hats?  YOU AGAIN: The Data Science Consultant will design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals. You will research and develop innovating solutions to deliver impact to our clients, contributing to bring intelligence in their digital mesh with the support of other Palo IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams.  Identify use cases allowing to take advantage of AI & Machine learning capabilities Define data science approaches that fit with clients’ business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets Communicate algorithms results, limits and potential for improvement in a meaningful way Evaluate third party datasets and emerging technologies (e.g. deep learning, NLP) that may contribute to better results Collaborate with clients and other Palo IT practices to build a comprehensive end-to-end approach, allowing to gather the relevant labeled data and features for ML algorithms as well as effectively embed machine learning outcome into data-driven apps Participate in development of select assets/accelerators that create scale Contribute to thought leadership through research and publication support  STILL YOU:   You hold a Bachelor, Master or PhD degree in Computer Science, Statistics or related discipline, and strong academic performance with analytic and quantitative coursework is required   Good knowledge of supervised/unsupervised machine learning techniques and algorithms   Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.   Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)   Data-oriented background in SQL, data wrangling and data modelling   Exposure to data viz tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)    Willingness to apply advanced data science techniques such as deep learning, reinforcement learning, NLP…   Willingness to be part of a multi-disciplinary team to solve real business problems from end-to-end     Your role at PALO IT You will be invited to take part in R&D works done within our Practices. You will have the chance to assist or be a speaker at must-attend international IT conferences. You will have the opportunity to write articles for our Blog or specialized press. Genuine ambassador of PALO IT, you will present our offers and take an active role in the development of the company.  Your technical environment # Background in math & statistics # Statistical programming languages: R, Python (scikit-learn library), SAS, SPSS # Data science platforms: SAS, Dataiku... # Data viz tools: Tableau, Qlik","  You hold a Bachelor, Master or PhD degree in Computer Science, Statistics or related discipline, and strong academic performance with analytic and quantitative coursework is required   Good knowledge of supervised/unsupervised machine learning techniques and algorithms   Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.   Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)   Data-oriented background in SQL, data wrangling and data modelling   Exposure to data viz tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)    Willingness to apply advanced data science techniques such as deep learning, reinforcement learning, NLP…   Willingness to be part of a multi-disciplinary team to solve real business problems from end-to-end  "
102,308d6c951220849db4132fa0380dd5aa,https://www.mycareersfuture.sg/job/data-scientist-nec-corporation-308d6c951220849db4132fa0380dd5aa,Data Scientist,Full Time,NEC CORPORATION,"HYFLUX INNOVATION CENTRE, 80 BENDEMEER ROAD 339949",Senior Executive,"Engineering, Information Technology",6000,8000,Monthly,17 Jan 2019,0,0,0,0,"The Innovation and Transformation Office (ITO) of Global Safety Division (GSD) leads disruptive idea generation, research, testing and prototyping with the goal of launching breakthrough products and services inspired by global trends and emerging technologies, contributing to a Safer City. We aim to take our deep technical and product expertise and develop innovative solutions that helps to transform businesses. This position is a good match for a passionate and technical leader who enjoys technical challenges and possess excellent communication skills. The successful candidate should preferably have a strong start-up mentality and experience, as well as proven track record within a cross-cultural multi-national corporation, delivering large mission critical solutions in the area of data science and machine learning. As a Data Scientist, you'll work closely with our customers to produce innovative and actionable quantitative models and analysis to address the challenges in the areas of Public Safety. The Innovation and Transformation Office (ITO) team is a catalysing force that crystalizes visionary concepts into proof-of-concepts (POCs) and prototypes that will bring real value to organizations. These solutions need to be scalable to support millions of customers worldwide.    Provide leadership in the areas of data analytics and modelling with a strong focus on Public Safety. Develop and deploy AI technologies for public safety. Manage machine learning projects, including writing functional and program specifications and documentation, data (structured and unstructured) acquisition from external and internal sources, data preparation (data cleaning, data mapping, data quantity and quality validation), identifying suitable machine learning algorithms to apply on the data sets, building machine learning model from the data, and tuning model parameters for enhanced performance. Develop processes and tools for evaluating the performance of machine learning algorithms and robustness of the models. Establish specific success criteria for selecting the best machine learning model to address a real-world problem. Perform system testing and user acceptance testing to validate the robustness and performance of the machine learning models. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Design, build, test, validate, and deploy statistical and machine learning models to answer business needs and increase operational efficiency. Develop custom data models and algorithms to apply to data sets. Develop processes and tools to monitor and analyze model performance and data accuracy. Actively engage in the creation of new disruptive and transformational products and services through an understanding of the end user’s requirements and operating environment. Participate in the building and enhancement of a robust pipeline to support the automation of various development associated tasks to achieve continuous integration and delivery. Create Intellectual Property (IP) in the form of patents, publication of papers in the relevant areas that is tightly aligned to the strategic direction of the GSD. ","Education & Experience  Bachelor’s degree in Computer Science or Data Science (preferred). Or, Bachelor’s degree in any of Statistics/Mathematics/Technology plus a certification or rich experience in Machine Learning/Deep Learning/ETL. Minimum of 5 years of quantitative analytics experience with a focus on statistical modeling, Machine Learning, forecasting, optimization and/or predictive analytics. Experience in biometrics and facial recognition technologies is a plus.    Skill Requirements  At least 2 years’ relevant experience. Must have strong programming experience with Python and R. Experience in machine learning, deep learning, data visualization, statistical, text analytics libraries, jupyter notebook and/or frameworks in Python or R. Experience with data processing and data analytics. "
103,f1eba772347267532813c3a0de581003,https://www.mycareersfuture.sg/job/data-scientist-engineer-nec-corporation-f1eba772347267532813c3a0de581003,Data Scientist / Engineer,Full Time,NEC CORPORATION,"HYFLUX INNOVATION CENTRE, 80 BENDEMEER ROAD 339949",Executive,"Engineering, Information Technology",4500,6000,Monthly,17 Jan 2019,0,0,0,0,"The Innovation and Transformation Office (ITO) of Global Safety Division (GSD) leads disruptive idea generation, research, testing and prototyping with the goal of launching breakthrough products and services inspired by global trends and emerging technologies, contributing to a Safer City. We aim to take our deep technical and product expertise and develop innovative solutions that helps to transform businesses. This position is a good match for a passionate and technical leader who enjoys technical challenges and possess excellent communication skills. The successful candidate should preferably have a strong start-up mentality and experience, as well as proven track record within a cross-cultural multi-national corporation, delivering large mission critical solutions in the area of data science and machine learning. As a Data Scientist/Engineer, you'll work closely with our customers to produce innovative and actionable quantitative models and analysis to address the challenges in the areas of Public Safety. The Innovation and Transformation Office (ITO) team is a catalysing force that crystalizes visionary concepts into proof-of-concepts (POCs) and prototypes that will bring real value to organizations. These solutions need to be scalable to support millions of customers worldwide.    Provide leadership in the areas of data analytics and modelling with a strong focus on Public Safety. Develop and deploy AI technologies for public safety. Manage machine learning projects, including writing functional and program specifications and documentation, data (structured and unstructured) acquisition from external and internal sources, data preparation (data cleaning, data mapping, data quantity and quality validation), identifying suitable machine learning algorithms to apply on the data sets, building machine learning model from the data, and tuning model parameters for enhanced performance. Develop processes and tools for evaluating the performance of machine learning algorithms and robustness of the models. Establish specific success criteria for selecting the best machine learning model to address a real-world problem. Perform system testing and user acceptance testing to validate the robustness and performance of the machine learning models. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Design, build, test, validate, and deploy statistical and machine learning models to answer business needs and increase operational efficiency. Develop custom data models and algorithms to apply to data sets. Develop processes and tools to monitor and analyze model performance and data accuracy. Actively engage in the creation of new disruptive and transformational products and services through an understanding of the end user’s requirements and operating environment. Participate in the building and enhancement of a robust pipeline to support the automation of various development associated tasks to achieve continuous integration and delivery. Create Intellectual Property (IP) in the form of patents, publication of papers in the relevant areas that is tightly aligned to the strategic direction of the GSD. ","Education & Experience  Bachelor’s degree in Computer Science or Data Science (preferred). Or, Bachelor’s degree in any of Statistics/Mathematics/Technology plus a certification or rich experience in Machine Learning/Deep Learning/ETL. Minimum of 5 years of quantitative analytics experience with a focus on statistical modeling, Machine Learning, forecasting, optimization and/or predictive analytics. Experience in biometrics and facial recognition technologies is a plus.    Skill Requirements  At least 2 years’ relevant experience. Must have strong programming experience with Python and R. Experience in machine learning, deep learning, data visualization, statistical, text analytics libraries, jupyter notebook and/or frameworks in Python or R. Experience with data processing and data analytics. "
104,cbbbf5fffe0ae23aedc84c16eadb476c,https://www.mycareersfuture.sg/job/data-engineer-nec-corporation-cbbbf5fffe0ae23aedc84c16eadb476c,Data Engineer,Full Time,NEC CORPORATION,"HYFLUX INNOVATION CENTRE, 80 BENDEMEER ROAD 339949",Executive,"Engineering, Information Technology",3000,4500,Monthly,17 Jan 2019,0,0,0,0,"The Innovation and Transformation Office (ITO) of Global Safety Division (GSD) leads disruptive idea generation, research, testing and prototyping with the goal of launching breakthrough products and services inspired by global trends and emerging technologies, contributing to a Safer City. We aim to take our deep technical and product expertise and develop innovative solutions that helps to transform businesses. This position is a good match for a passionate and technical leader who enjoys technical challenges and possess excellent communication skills. The successful candidate should preferably have a strong start-up mentality and experience, as well as proven track record within a cross-cultural multi-national corporation, delivering large mission critical solutions in the area of data science and machine learning. As a Data Engineer, you'll work closely with our customers to produce innovative and actionable quantitative models and analysis to address the challenges in the areas of Public Safety. The Innovation and Transformation Office (ITO) team is a catalysing force that crystalizes visionary concepts into proof-of-concepts (POCs) and prototypes that will bring real value to organizations. These solutions need to be scalable to support millions of customers worldwide.    Provide leadership in the areas of data analytics and modelling with a strong focus on Public Safety. Develop and deploy AI technologies for public safety. Manage machine learning projects, including writing functional and program specifications and documentation, data (structured and unstructured) acquisition from external and internal sources, data preparation (data cleaning, data mapping, data quantity and quality validation), identifying suitable machine learning algorithms to apply on the data sets, building machine learning model from the data, and tuning model parameters for enhanced performance. Develop processes and tools for evaluating the performance of machine learning algorithms and robustness of the models. Establish specific success criteria for selecting the best machine learning model to address a real-world problem. Perform system testing and user acceptance testing to validate the robustness and performance of the machine learning models. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Design, build, test, validate, and deploy statistical and machine learning models to answer business needs and increase operational efficiency. Develop custom data models and algorithms to apply to data sets. Develop processes and tools to monitor and analyze model performance and data accuracy. Actively engage in the creation of new disruptive and transformational products and services through an understanding of the end user’s requirements and operating environment. Participate in the building and enhancement of a robust pipeline to support the automation of various development associated tasks to achieve continuous integration and delivery. Create Intellectual Property (IP) in the form of patents, publication of papers in the relevant areas that is tightly aligned to the strategic direction of the GSD. ","Education & Experience  Bachelor’s degree in Computer Science or Data Science (preferred). Or, Bachelor’s degree in any of Statistics/Mathematics/Technology plus a certification or rich experience in Machine Learning/Deep Learning/ETL. Minimum of 5 years of quantitative analytics experience with a focus on statistical modeling, Machine Learning, forecasting, optimization and/or predictive analytics. Experience in biometrics and facial recognition technologies is a plus.    Skill Requirements  At least 2 years’ relevant experience. Must have strong programming experience with Python and R. Experience in machine learning, deep learning, data visualization, statistical, text analytics libraries, jupyter notebook and/or frameworks in Python or R. Experience with data processing and data analytics. "
105,12b0422e99c974ea1180b83ec0352cb1,https://www.mycareersfuture.sg/job/senior-backend-engineer-creadits-12b0422e99c974ea1180b83ec0352cb1,Senior Backend Engineer,Full Time,CREADITS PTE. LTD.,,Professional,Information Technology,6500,8500,Monthly,17 Jan 2019,0,0,0,0,"About The Company Creadit’s has reinvented digital advertising. The world's largest advertisers are already on our platform:  World's largest ride-hailing apps World's largest e-commerce marketplaces World's largest gaming companies World's leading apparel companies  A single global marketplace for advertising talent, using a unified currency - Creadits. Creadits are used globally to acquire anything required to start advertising - graphic design, video shoots, writing, campaign management, training, even data. The Creadits platform will provide a global view of talents and opportunities to get involved in projects. A global talent pool can set values for Creadits, trading transparently. Global talent will no longer be trapped by borders or exchange rates. Creadits unlocks and unifies advertising, across any platform, and any geography. More than facilitating transactions, the Creadits platform can make creative and strategic recommendations, improving and predicting campaign outcomes.   We are looking for a Senior Backend Engineer to join our team! Together, we will develop open-source and cloud-based technologies (AWS & GCP) - REST APIs, Microservices implementations, real-time data pipelines, message queues into WebSocket and push notifications, etc. Since the demands on our system are extensive and as we continue to scale rapidly, you will have the opportunity to gain experience with a wide variety of design patterns and tools - AWS, Docker, Message broker, Spark, Redis, NoSQL and WebSocket, etc. Plus a reasonable knowledge of shell scripting and automation tools. Compensation will be competitive and commensurate with experience   Role & Responsibilities  You will be part of our core Backend Engineering team and work on a daily basis (agile) to develop and execute Product Development plans, decisions on technologies to be used including contributing to timelines, You will own back-end implementations in one or more of our product areas - which include designer experience, advertiser experience, admin experience and growth. You will work extremely closely with the Data science/AI team to commercialize the products of their research. You will also communicate with marketing and customer success teams to ensure successful product launches, iteration and growth. You will be a dedicated owner on the products you develop and communicate frequently with fellow team members to understand their needs and help deliver optimal solutions. ","Minimum Qualifications  You have at least 5 years experience working in internet technology engineering. You have a powerful command of data-structures, OOP, algorithms, design patterns You are completely passionate about backend technology. You know multiple programming languages (eg: Java, Scala, PHP) and frameworks and are comfortable picking up new ones quickly You understand agile and lean principles You are a proponent of test-driven development and well-documented code You are a well organized strong communicator    Preferred Qualifications  You have experiences with Java technology stack and Microservices You have skills about MySQL and NoSQL You are familiar with at Message Broker (RabbitMQ, SQS, Kafka, Google Pub/sub) You have experiences with real-timing data processing, eg: Flink, Spark, Dataflow You preferably have a BS in computer science "
106,3221d10d99d0b258bc2f476978aa8e9f,https://www.mycareersfuture.sg/job/research-associate-national-university-singapore-3221d10d99d0b258bc2f476978aa8e9f,Research Associate,Contract,NATIONAL UNIVERSITY OF SINGAPORE,21 LOWER KENT RIDGE ROAD 119077,Non-executive,Sciences / Laboratory / R&D,40800,84600,Annually,16 Jan 2019,1,0,0,0,"A Research Associate position is immediately available at the Institute of Data Science, National University of Singapore, in the areas of Data Mining and Machine Learning. The position involves developing and maintaining state-of-the-art data science and machine learning platforms and applications for the institute, and working with data science researchers to conduct research and development on state-of-the-art data science projects in collaboration with industry partners. The job scope includes data preparation and cleaning, designing and implementing of scalable and effective algorithms and methods in data mining, machine learning and artificail intelligence, performing empirical study on real-world data, developing applications and visualization demos etc.   The successful candidate will be a hands-on data engineer with solid coding and application development skills and experience, with a passion and pride to write robust, readable, and reusable code components and applications. He/She should be familiar with at least one ML library/framework, and have up-to-date knowledge in the latest cloud computing and other big data technologies. He/She should also have excellent interpersonal communication skills for working closely with internal and external collaborators to implement data science applications.  Prior R&D exposure would be a plus.","- Master's degree in computer science or related disciplines - More than 2 Years of experience, industry experience would be a plus - Programing language: Python, R, JAVA or C++ - Knowledge and experience in database management and machine learning algorithms - Knowledge and experience in GPU-based computation would be a plus - Experience with various data analysis and visualization tools and big data computing platforms - Experience in developing and deploying machine learning algorithms including deep learning - Experience in Ux design - An independent and self-driven worker and a fast learner - Well-organized and has an eye for details - Excellent written and verbal communication skills"
107,e9ea9493274dd95bbe64877c715113cf,https://www.mycareersfuture.sg/job/data-engineer-alpha-z-analytics-singapore-e9ea9493274dd95bbe64877c715113cf,Data Engineer,Contract,ALPHA Z ANALYTICS SINGAPORE PTE. LTD.,,Professional,Professional Services,6000,10000,Monthly,16 Jan 2019,1,0,0,0,"Responsibilities This role’s primary job responsibility is defining the framework and process for preparing data for analytical uses.   The Data Engineer will support data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.  This person should have extensive experience in: ·       building data pipelines to pull together information from different source systems;  ·       optimizing the flow, collection, integration, consolidation and cleansing of data;  ·       structuring data for use in individual analytics application;  ·       data preparation and building data structures in relational and NoSQL environment/databases; ·       deploying / configuring analytic tools, optimizing computing environment for analytic projects; and ·       deploying analytic projects to production:  deploying data science product via either API or batch job, automating the refresh of machine learning models, deploying real time models.   The right candidate will be excited by the prospect of designing data engineering solutions from ground up. ·       Create and maintain optimal data pipeline architecture; ·       Assemble large, complex data sets that meet functional / non-functional business requirements; ·       Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, designing infrastructure for greater scalability, etc. ·       Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using ‘big data’ technologies; ·       Work with stakeholders (data analysts, data scientists, technology support team) to assist with data-related technical issues and support data infrastructure needs; ·       Build processes supporting data transformation, data structures, dependency and workload management","·        Degree in computer science with at least 3 years data engineering work experience in big data analytics environment. ·        Excellent data engineering skills with open source big data stack ·        Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. ·        Strong analytic skills related to working with unstructured datasets.  ·        Experience with big data tools: Hadoop, Spark, Kafka, etc. ·        Experience with relational SQL and NoSQL databases ·        Experience with object-oriented/object function scripting languages: Python, Scala, etc. ·        Familiar with deployment and optimization of open source big data analytic stack on distributed environment. ·        Familiar with compiling, deploying and configuring open source data science tools including Python, R, Spark, etc. ·        Familiar with deploying analytic projects and data science products to production ·        Excellent programming skills"
108,a6afa6b4ba52dfdb024217fcb0b4eba0,https://www.mycareersfuture.sg/job/data-engineer-orica-international-a6afa6b4ba52dfdb024217fcb0b4eba0,Data Engineer,Permanent,ORICA INTERNATIONAL PTE. LTD.,78 SHENTON WAY 079120,Fresh/entry level,Information Technology,75000,90000,Annually,16 Jan 2019,0,0,0,1,"Orica is seeking a bright and motivated individual to join our Data Science team. The candidate's primary responsibility will be to provide analytics services for the digital hub initiatives to help improve and monitor product reliability and operational efficiency. This will include developing insights from diverse data sources and creating platforms to make these insights actionable for key stakeholders.   The successful Data Engineer will propose creative Data Science solutions to problems faced by various groups at Orica, evaluate those solutions, and then work with the team to develop and deploy those solutions.   RESPONSIBILITIES    Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, time series, etc. Uses analytical platforms such as R and Python to model complex systems and derive actionable insights. Design and implement reporting dashboards that track key business metrics and provide actionable insights. Works with the team to review, analyse, and develop solutions for operational leaders. Work closely with both business units and engineering teams to formulate measurement problems and associated technical solution strategies Work closely with engineering and product management teams to build tools and applications on our unique big data platform to efficiently generate and deploy insights into decision-making systems at Orica. "," An advanced degree (Masters or PhD) in statistics, mathematics, computer science, engineering or scientific field Proficiency with statistical analysis tools to include: R, SAS, SPSS Proficiency with software development technologies to include: Python, C++, Java Knowledge of machine learning tools, basic statistics, data visualization techniques and databases (SQL) to Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, time series, etc. Excellent verbal and communication skills, ability to explain predictive analytics to non-technical audience Interface with Engineers, Product Managers and Product Analysts to understand product goals and data needs Build data expertise and own data quality for allocated areas of ownership Numerical skills with the ability to think logically and practically to deal with complexity. Ability to:   Work in a fast-paced environment Promptly recognize emerging problems and identify potential solutions Deliver high-quality results on time   "
109,5fb5754485af66782640da6ad970b4a6,https://www.mycareersfuture.sg/job/full-stack-developer-dathena-science-5fb5754485af66782640da6ad970b4a6,Full Stack Developer,Full Time,DATHENA SCIENCE PTE. LTD.,"ONE GEORGE STREET, 1 GEORGE STREET 049145","Fresh/entry level, Non-executive",Engineering,4000,6000,Monthly,16 Jan 2019,0,0,0,0,"Job title: Full Stack Developer                Reports to: Solution Architect                  About Dathena Science   Dathena is a Swiss and Singaporean company developing data governance software based on artificial intelligence algorithms. Dathena is the most complete and accurate data governance and classification platform and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations. Using cutting edge machine learning technology, Dathena sift through all unstructured data allowing to regain full control on company’s information.   We are looking for a Full Stack Developer for a permanent position or an internship to work with us and our partners to improve our leading technology in managing the confidentiality of information of our Fortune 500 clients.   Job Purpose:  Full Stack Developer, keen to develop web/cloud-oriented and big data technologies, and integrate new libraries / framework into our codebase. Bring the knowledge and curiosity in Dathena to develop big data applications. Live your passion for software development in exciting Data Science and Cybersecurity projects and be inspired by your colleagues' enthusiasm. ","Responsibilities:   You will implement sophisticated product development projects for the enterprise and cloud environments using modern, agile project methods within the Dathena Development & Engineering team. You will efficiently and competently solve tricky software challenges, because continuous further development and active knowledge exchange mean that you will be working with the latest methods and tools and always be on trend. As a Full Stack Developer, you will cooperate with interdisciplinary teams in projects and experience how technology and team spirit unite to create innovative solutions and work closely with our team of data scientists, researchers and developers to implement the state of the art.  Skills and Qualifications:  Python 3+ JavaScript: React & Node.JS Message queues (RabbitMQ / ZeroMQ) Database design & usage (MySQL / PostgreSQL) Used to develop and deploy on Ubuntu and/or OSX Celery is a plus Django / MVC is a plus Docker is a plus  Soft Skills:  Fluent in English Data-oriented personality Time management Interpersonal Skills Critical Thinking Proactive and interested in A.I., Big Data and cyber-security, the candidate should be able to implement good security practices. New tools are available every day, some of them could improve our overall environment. The Full Stack Developer has to be lazy in a smart way: everything should be automated with as little human interaction as possible  Working Conditions:  The Full Stack Developer must fully embrace the team spirit of a young and innovative Start-up. They must be able to adapt to a multi-cultural environment. Travel and remote location might be required.     Location: Singapore    "
110,c79fdeeed7eea65b71f28ac2dca1a4d0,https://www.mycareersfuture.sg/job/lead-data-scientist-cartrack-technologies-south-east-asia-c79fdeeed7eea65b71f28ac2dca1a4d0,Lead Data Scientist,"Permanent, Full Time",CARTRACK TECHNOLOGIES SOUTH EAST ASIA PTE. LTD.,"INTERNATIONAL PLAZA, 10 ANSON ROAD 079903",Manager,Information Technology,7000,12000,Monthly,16 Jan 2019,0,0,0,1,"Cartrack is looking for candidates that can join our growing team as a Lead Data Scientist.  We are creating revolutionary platforms that will change the industry.  We’re on track to reach 1+ million subscribers soon and are seeking passionate people with relevant experience to help deliver world-class software solutions to our clients.  To be successful in this position the candidate must work well in a fast-paced environment with like-minded engineers that have a desire to build incredible data platform in a fast, efficient and scalable manner. You will have the opportunity to work with some of the brightest global subject matter experts that are transforming the automotive industry across Fleet Management, Asset Management and Insurance Telematics solutions. You are:  Data Science Leader who can develop differentiated capabilities in spatial and temporal data management (e.g. Location Intelligence, Mobile data analytics, spatial data cleaning, visualization and interactive queries) to establish our competitive advantage. You will:  Drive Spatial data management applied research and develop core parallel algorithms and processes to bring Cartrack’s technology assets into big data platforms (include but not limit to Hadoop, Spark) Develop and scale the solutions to full-production grade Work with clients to design and develop data oriented advanced solutions, especially in the areas of location intelligence, data quality, spatial integration, Spatial data queries and data visualization Work with product managers and engineers to develop product roadmap and iterate minimum viable products to validate needs with real clients. ","As a Data Scientist, you have:  Strong background in algorithm design and implementation, research experience with geospatial related algorithm design is a plus Deep expertise in Big Data technologies such as Hadoop, Spark, and NoSQL databases, experience with parallel and distributed computing is a plus Strong programming skills in Java and Scala, experience in functional programming is preferred. Familiar with Linux/Unix and shell scripting, experience in cloud computing is a plus Ability to deal with ambiguity and uncertainty with a degree of maturity, such as constructing solution concepts from insights using familiar or unfamiliar data sources or complete or partial data Brings curiosity and creativity and thought leadership along with business, analytics, computer, and persuasive communication skills to the challenges the stakeholders face Balances academic rigor and business pragmatism "
111,eacbdda050a6c4cd101d1755b4db1ea2,https://www.mycareersfuture.sg/job/data-scientist-mann-hummel-filter-technology-eacbdda050a6c4cd101d1755b4db1ea2,Data Scientist,Full Time,MANN + HUMMEL FILTER TECHNOLOGY (S.E.A.) PTE LTD,"THE STRATEGY, 2 INTERNATIONAL BUSINESS PARK 609930",Manager,Sciences / Laboratory / R&D,8100,8700,Monthly,16 Jan 2019,0,0,0,0,"Main Accountabilities  Advocate, evangelize and build data-fuelled products and services that help our customers improve filtration. Advocate, evangelize and build data-fuelled services that help our internal customers improve their operations. Dig in and become an expert on our filtration technology datasets. Provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables. Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas. You will lead applied analytics initiatives that are leveraged across the breadth of our solutions for Automotive, Industrial, Air, and Water filtration. Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes. Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization Implement PoC and PoV to test and validate the proposed analytics or algorithm Benchmark and recommend best solutions to implement our big-data and machine learning algorithm on our cloud infrastructure ","Job Requirements (Qualifications, Skills, Experience, Competencies)  Holds a Ph.D. or Master’s Degree in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline. Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms. More than 5 years of experience delivering world-class data science outcomes Able to solve complex analytical problems using quantitative approaches with your unique blend of analytical, mathematical and technical skills. Passionate about asking and answering questions in large datasets, and you are able to communicate that passion to product managers and engineers. Keen desire to solve business problems, and live to find patterns and insights within structured and unstructured data. You propose analytics strategies and solutions that challenge and expand the thinking of everyone around you. Expert in analysing large, complex, multi-dimensional datasets with a variety of tools. You are accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS. Experience with BI tools such as Tableau and Micro-strategy. You’re as comfortable with relational databases as you are with Hadoop-based data mining frameworks. You are familiar with SQL, Python, R, Go, Java and C/C++. Comfortable with fast paced, test-driven, collaborative and iterative engineering environment. You love learning, data, scale and agility. You excel at making complex concepts simple and easy to understand by those around you. You’re driven to show the world the power of applied analytics. Knowledge or previous experience with Amazon Web Services or other major public cloud provider is a plus Knowledge or previous experience with Docker technology is a plus Good command of English - both written / spoken Able to multitask and execute with a positive ""can do"" attitude Able to learn fast through self-directed interdisciplinary research "
112,2fe50cb7a17176b9cfb57102153837de,https://www.mycareersfuture.sg/job/business-analyst-project-manager-data-science-2fe50cb7a17176b9cfb57102153837de,Business Analyst Project Manager - Data Science,"Permanent, Contract",Company Undisclosed,"HONG LEONG BUILDING, 16 RAFFLES QUAY 048581",Manager,Information Technology,7000,9000,Monthly,16 Jan 2019,1,0,0,1,"Who We Are:  We NS Solutions Asia Pacific (NSAP), together with NS Solutions Japan, provides IT consulting and professional services primarily to financial industry. Distinguishing ourselves from a conventional IT company, we have long standing of relationship with major banking customers with strong track record of in-depth industry knowledge and rich experience of implementing large-scale enterprise systems. NSAP strengthens financial IT services through Project Planning and Promotion, consulting and implementation in Financial Regulation and IFRS arena, and financial data analysis as pivotal pillars of our business growth. To expand data analysis business NSAP forms a partnership with DataRobot, a leader of automated machine learning solution. (Link to press release: https://global.nssol.nssmc.com/sg/201901.html) As expanding the professional services to financial customers beyond Singapore, we are looking for talented, energetic and versatile staff to accelerate our business. Check our corporate web site for more information: https://global.nssol.nssmc.com/sg/ NS Solutions, the parent company, is one of the largest information technology company in Japan, with more than 6,000 professional staffs serving IT consulting and system development for a wide range of customers: manufacturing, finance, retail, telecom, and government sector.  Key Responsibilities:  Interact with business, technology and senior management stakeholders to define business issues, identify necessary data from internal/external sources to be analysed. Identify and collect structured and unstructured data from multiple data sources to analyse and generate meaningful insights. Analyze large amounts of data to discover trends and patterns. Fine-tune solution by working with business stakeholders including documentation of the data attributes, definitions and associated metadata. Perform data mapping, cleansing, data quality checks and verification of data integrity to ensure the data set is properly and accurately sorted out to address business issues. Responsible for running Proof of Concept (PoC) project to analyse data by using Machine Learning Software and techniques.  Clearly communicate complex analysis findings through presentation and documentations to technical and non-technical stakeholders. ","Job Requirements:  Minimum 3+ years of experience in data management applications such as business intelligence, management information systems as Data Scientist or Data Analyst. Experience of working with large data set using Machine Learning Algorithms, Traditional or Deep Learning, Data Mining, Advance Analytics and Data Visualisation. Knowledge of advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, predictive modelling, correlations, pattern analysis etc. Deep knowledge of data science best practices to explain proposed data model strength and weaknesses. Ability to conceptualise business problems and solving them through data analysis.[津田1]  Having industry expertise background from one of the followings is preferable: Financial (bank, insurance, leasing), Manufacturing, Telecommunications and Retail. Traveling within ASEAN region may be required.  Skills and Competencies:  Bachelor/Master degree with major and/or specialisation in Statistics, Mathematics, Computer Science, or Information Management is preferred. Visualisation: QlikView, Tableau, Cognos, SAP Business Objects. (regarded as an advantage) Programming Language: R, Python, SAS, and SPSS. (regarded as an advantage) Experience of SQL languages for data orchestration, manipulation and optimization is preferable. Strong attention to detail with clear verbal and written communication skills. "
113,61b2e7a6347ebb9e1f4da0a3ed544639,https://www.mycareersfuture.sg/job/research-assistant-national-university-singapore-61b2e7a6347ebb9e1f4da0a3ed544639,Research Assistant,Contract,NATIONAL UNIVERSITY OF SINGAPORE,21 LOWER KENT RIDGE ROAD 119077,Non-executive,Sciences / Laboratory / R&D,36000,60000,Annually,15 Jan 2019,1,0,0,0,"We have multiple postdoctoral data scientist/data engineer openings for the Grab-NUS AI Lab anchored at the Institute of Data Science at National University of Singapore. Grab (http://www.grab.com/sg/) is Southeast Asia’s leading on-demand transportation platform. The Grab-NUS AI Lab aims to solve transportation challenges with intelligent insights and innovative services enabled by rigorous research in AI and data science. The lab will focus on five key areas: passengers, drivers, traffic, locations, and big data AI platform. We will develop big data-driven machine-learning algorithms to predict and meet the needs of both the passengers and drivers, as well as to model and understand the city’s traffic and its locations better. The lab will also develop a state-of-the-art real-time visual and analytics AI platform to deploy the algorithms on big data. The successful candidate(s) will conduct advance research on AI and data science in one the five focus areas mentioned above, led by distinguished professors from NUS’ Computing Department together with experienced data scientists from Grab.","PhD/MS/BS in Computer Science or related field, with specialization related to data mining, machine learning, or databases; Publications in top-tier conferences in Data Mining, Machine Learning, Databases and other relevant areas; Prior research experience in transportation data analytics would be a plus; Proficiency in large-scale programming systems for big data and AI; Good oral and written skills in English; Experienced in working in a team, with people of diverse skillsets, including industry end-users; Passionate in working with developers and users to get solutions into use. The appointment will be for two years. Selected candidates will be offered with attractive/competitive salaries and benefits. If interested, please send your resume and a cover letter to seekiong@nus.edu.sg."
114,632b834a6c1272a68646d5a8812cb4f5,https://www.mycareersfuture.sg/job/data-scientist-government-technology-agency-632b834a6c1272a68646d5a8812cb4f5,Data Scientist (Human Capital),Full Time,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,8000,Monthly,15 Jan 2019,0,0,0,0,"The People Organization Group (POG) is the GovTech division that oversees and promotes our human resources. It is in charge of fostering the holistic development and enrichment of our employees, both individually and as a team.    We are seeking an analytics professional to join us as a Data Scientist to develop our advanced HR analytics strategies. You will be given opportunities to apply people analytics using advanced analytics technologies, subsequently making critical decisions to directly impact initiatives and solutions and meet business needs. Success in the role will be demonstrated by your ability to thrive in a fast-paced and dynamic environment.   What to Expect:   Consult with HR and organizational partners to identify business problems Extract and interpret large data sets from HR Centers of Excellence using complex data analysis Design holistic analytical reports, articulating and transforming them into actionable people insights for key HR stakeholders Level-up analytical capabilities for POG by enhancing intellectual programming analytics through integrating current and new HR systems and technologies Participate in data science studies and projects to discover new analytics technologies   How to Succeed:   At least 2 years of professional experience in data science, business analytics or a related field In-depth knowledge of basic data science concepts (e.g. machine-learning algorithms, natural language processing, business application of statistics) Technical expertise in data analysis technologies (e.g. Tableau, Python, R, SAS) and database development tools (e.g. SQL, Hadoop) Excellent communication (written and verbal) and stakeholder-management skills Self-starter and passionate in data analysis  ",None
115,374d74aea99fecf78bf4975dcd927715,https://www.mycareersfuture.sg/job/assoc-data-scientist-consumer-banking-group-business-analytics-to-dbs-bank-374d74aea99fecf78bf4975dcd927715,"Assoc, Data Scientist, Consumer Banking Group Business Analytics, T&O (1900007A)",Full Time,DBS BANK LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Senior Executive,Information Technology,3750,6800,Monthly,15 Jan 2019,0,0,0,0,"Business Function    As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business – they were made just right for you.    About this role  The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.   Responsibilities     Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc. Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more. Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region Help the team with methodology and guidance in the areas of experiment design and data analysis. "," Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background. 6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results  At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models. Good understanding of technology tools especially those related to analytics, data & statistical modelling.  Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.  Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc.. Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful. Ability to communicate complex analysis/models across a diverse team. Good written and oral communication skills "
116,2ce05fc7647964335c4b0f1fcd1d9cb6,https://www.mycareersfuture.sg/job/avp-data-scientist-consumer-banking-group-business-analytics-to-dbs-bank-2ce05fc7647964335c4b0f1fcd1d9cb6,"AVP, Data Scientist, Consumer Banking Group Business Analytics, T&O (1900007A)",Full Time,DBS BANK LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Senior Executive,Information Technology,6500,11700,Monthly,15 Jan 2019,0,0,0,0,"Business Function    As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business – they were made just right for you.    About this role  The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.   Responsibilities     Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc. Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more. Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region Help the team with methodology and guidance in the areas of experiment design and data analysis. "," Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background. 6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results  At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models. Good understanding of technology tools especially those related to analytics, data & statistical modelling.  Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.  Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc.. Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful. Ability to communicate complex analysis/models across a diverse team. Good written and oral communication skills "
117,d92a9de66e079d8c0d801cdfbb58c323,https://www.mycareersfuture.sg/job/snr-assoc-data-scientist-consumer-banking-group-business-analytics-to-dbs-bank-d92a9de66e079d8c0d801cdfbb58c323,"Snr Assoc, Data Scientist, Consumer Banking Group Business Analytics, T&O (1900007A)",Full Time,DBS BANK LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Senior Executive,Information Technology,5000,9000,Monthly,15 Jan 2019,0,0,0,0,"Business Function    As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business – they were made just right for you.    About this role  The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.   Responsibilities     Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc. Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more. Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region Help the team with methodology and guidance in the areas of experiment design and data analysis. "," Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background. 6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results  At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models. Good understanding of technology tools especially those related to analytics, data & statistical modelling.  Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.  Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc.. Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful. Ability to communicate complex analysis/models across a diverse team. Good written and oral communication skills "
118,1658264cb95070ea1343d335694a2e0c,https://www.mycareersfuture.sg/job/engineer-scientist-leadbook-1658264cb95070ea1343d335694a2e0c,Engineer Scientist,Permanent,LEADBOOK PTE. LTD.,"TUNG ANN ASSOCIATION BUILDING, 141 CECIL STREET 069541",Professional,"Information Technology, Sciences / Laboratory / R&D",4000,7000,Monthly,15 Jan 2019,0,0,0,1,"Engineer Scientist If you are an outstanding engineer scientist or data science engineer who likes to build best-in-class data driven cloud solutions, we are interested in talking to you. Responsibilities:  Design and develop a highly scalable, end to end pipeline, to consume, integrate and analyze large volumes of data. Develop efficient algorithms for processing and monitoring for data pipelines. Troubleshoot complex data-pipeline. Use data science techniques to Improve quality of data and ingest data from several data sources using different web crawling techniques. Work in Agile / Scrum environments with remote team. Develop creative ideas on how to work better and smarter. Influence and participate in top-priority projects that have a real impact. Communicating effectively with various stakeholders across technology and the business. "," 3+ years of Python product development experience. Min 2 years of working experience in Shell Scripting, SQL, NoSQL (MongoDB) & Elastic-Search. Experience with web crawling frameworks like scrapy and libraries like selenium, requests, lxml, beautiful-soap. Develop clean, elegant, well-commented, and reusable code with version control (Git). Knowledge of continuous deployment and integration. Knowledge in processing queuing libraries (RabbitMQ,RQ, Redis, Celery). Knowledge of cloud deployment strategies in AWS, Azure using server orchestration tools. "
119,03cec692d094a48f4c2031fd32033656,https://www.mycareersfuture.sg/job/svp-vp-senior-data-scientist-data-transformation-technology-operations-dbs-bank-03cec692d094a48f4c2031fd32033656,"SVP / VP, Senior Data Scientist, Data & Transformation, Technology and Operations (1800039X)","Permanent, Full Time",DBS BANK LTD.,,"Senior Management, Middle Management",Banking and Finance,9500,19000,Monthly,15 Jan 2019,0,0,0,1," Drive enterprise strategy on testing and production deployment of machine learning and AI products  Drive the discussion between data science and IT on the architecture and solution design to ensure production and deployment is fully considered Drive the testing and deployment of the machine learning products into production Lead the requirement gathering and release road map for analytic platform features Develop enterprise standards and practice on testing and production deployment of machine learning and AI products Drive the adoption of software development practice in data science teams, such as agile development, software development life cycle (SDLC), continues improvement and continues deployment (CI/CD) and testing strategy. "," Solid track record of deploying machine learning solution into production environment and integrate into operation  Expert in identifying and solving issues when putting model into production – load balancing, distribution, through-put, latency, availability, stability, refactoring, repackaging, versioning, scoring, real time / online scoring, performance monitoring and management,   Expert on the open source stack of bid data and machine learning solutions such as Hadoop, Spark, YARN, Mesos, Hive, Impala, Spark Streaming, Kafka, API, Anaconda / R studio server, Kubernetes,  Familiar with development, deployment, production and operation life cycle of the machine learning product and software best practices such as SDLC, CICD, Test-Driven Development (TDD) Excellent problem-solving skills and strategic thinker Proficiency in Python, R, Spark, Java and Scala Good interpersonal skill and able to influence the decision making of data science and IT team Solid written and communication skills "
120,995d39b7e98f157a50df98d041569510,https://www.mycareersfuture.sg/job/data-engineer-leadbook-995d39b7e98f157a50df98d041569510,Data Engineer,Permanent,LEADBOOK PTE. LTD.,"TUNG ANN ASSOCIATION BUILDING, 141 CECIL STREET 069541",Professional,"Information Technology, Sciences / Laboratory / R&D",2000,4000,Monthly,15 Jan 2019,0,0,0,1,"Data Engineer If you are a data science and python enthusiast who likes to build best-in-class python crawlers and data processing pipe, we are interested in you. Leadbook.com is a global leader in customer intelligence. Leadbook helps sales team discover new opportunities, build targeted lists in seconds and gain deep insights about their prospects and customers. Responsibilities:    * Design and develop a highly scalable, data crawlers to extract large volumes of data from www.    * Wrangle the raw data to get cleaned, normalized, and enriched datasets using transformations, normalization and mapping.    * Work in Agile / Scrum environments with remote team    * Develop creative ideas on how to work better and smarter.","Qualifications: 2 years of tangible Python development experience Excellent English communication skills both spoken and written Develop clean, elegant, well-commented, and reusable code with version control (Git) Degree in Computing or equivalent"
121,b6cd750d78ac8eb52fe762130f97b186,https://www.mycareersfuture.sg/job/data-engineer-rakuten-asia-b6cd750d78ac8eb52fe762130f97b186,Data Engineer,Full Time,RAKUTEN ASIA PTE. LTD.,"CAPITAGREEN, 138 MARKET STREET 048946",Manager,Information Technology,4500,8000,Monthly,15 Jan 2019,0,0,0,0," Implement cutting-edge data infrastructure platform which is vendor unlocked and multi-tenant. Implement and manage robust ETL pipeline based on streaming. Implement easy-to-use generalized data accessing layer by leveraging the details of storage engine. Implement distributed machine learning pipeline by coordinating with data science team. Develop data driven culture for integrated partners. Propose new technologies, tools to improve whole process of data system integration. ","Must have  Bachelor degree or higher in Computer Science or related field. Experience in at least one language for web backend application & data processing, such as Java, Python, etc. Experience in NoSQL database, such as Redis, Solr, MongoDB, etc. Experience in Linux system operation, ability to manage system level task such as monitoring and troubleshooting your deployed applications. Good communication skills, ability to work in fast pace R&D. High motivation for learning, skill up, system ownership and contribution to the team.  Must have for Senior position  3+ years of experience in developing large scale data processing platform of various unstructured data. 3+ years of experience in using various big data frameworks and NoSQL databases, such as Hadoop, Kafka, Redis, Solr, etc. Practical knowledge of web system performance tuning including OS, middleware, I/O and application.  Good to have  Experience on cloud computing service, such as AWS. Experience in handling multilingual data. Knowledge in data science domains, such as NLP, Data Mining, and Deep Learning will help your collaboration with the data scientists. "
122,82987455f4ee9d1b384da7bd6465ea4c,https://www.mycareersfuture.sg/job/data-scientist-activate-interactive-82987455f4ee9d1b384da7bd6465ea4c,Data Scientist,Full Time,ACTIVATE INTERACTIVE PTE LTD,"SINGAPORE POST CENTRE, 10 EUNOS ROAD 8 408600",Senior Executive,Information Technology,4000,6500,Monthly,14 Jan 2019,0,0,0,0,"Data Scientist (Data Science & Analytics)  Roles and responsibilities    Perform data science research and development in line with organization’s vision within digital health and wellness domain. Design and qualifying processes for data gathering, storage, processing, integration. Perform data research and analytics using deep machine learning to create accurate data and prediction model Refining data prediction model for demo, prototyping that leads to eventual productization. Take ownership and follow through the transfer of algorithm and prediction model to product and engineering team. Documentation of research, experiments, modelling and methodology.  Providing reports and presentations on results and findings. Identify opportunities and risks for the business through data science and analytics.    Requirements    "," 3 to 5 years in data research, data science or analytics. Bachelor or Master degree in Statistic, Mathematics, Biomedical Science, Computer Science or related discipline. Good working knowledge of R, SQL, MATLAB, Python, C/C++. Experiences in deploying prediction models to final products will be considered favourably. Keen interest in digital healthcare, wellness and fitness domain. A 'go with the flow' and positive attitude, adaptable to change and energetic. Have the ability to problem-solve and can be very resourceful. Passionate in learning and working with new technologies. A natural tenacity, resilency and determination.  Benefits: Flexi benefits that covers medical, gym, sports and wellness. If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you!"
123,f75f452d3baf0effa3bbc4b351709045,https://www.mycareersfuture.sg/job/data-scientist-clariant-f75f452d3baf0effa3bbc4b351709045,Data Scientist,"Permanent, Full Time",CLARIANT (SINGAPORE) PTE. LTD.,"THE SYNERGY, 1 INTERNATIONAL BUSINESS PARK 609917","Middle Management, Manager, Professional","Manufacturing, Others",5000,8000,Monthly,14 Jan 2019,0,0,0,1," Ensures planning and execution of projects with data science as key element Ensures optimization product developments by statistical & model supported DOE and by data mining Develop applications for automated data base access, analytics and control Ensure highest industrial standards in data based optimization and simulation Ensure lean and effective approaches for the implementation in Clariant’s business units and services Develop data science based services of business unit applications to support new business models Actively check opportunities for public funding to expand competence Train people within Clariant to apply Data mining tools Perform cross business unit know-how exchange in the field of data science (expert circle participation) "," Master/ PhD Chemical engineering, Computational engineering, Business informatics Project experience in data mining, optimization or algorithm design Knowledge of chemistry, chemical production or business processes in chemical industry Application experience of modern tools for process or data mining, experience in high programming suites (Python, R, Statistica, Simca) "
124,5bbd0461c1d3762bcc37c6bcdebf9b12,https://www.mycareersfuture.sg/job/data-scientist-leap-5bbd0461c1d3762bcc37c6bcdebf9b12,Data Scientist,Permanent,LEAP (G) PTE. LTD.,"MILLENIA TOWER, 1 TEMASEK AVENUE 039192",Professional,Information Technology,10000,15000,Monthly,14 Jan 2019,0,0,0,1,"About You You are a highly motivated, bright, dynamic and adaptable business leader and individual contributor that thrives in an innovative, performance-oriented environment. Continual learning is everything and you want to be a key contributor in a team full of diverse, experienced technology and business professionals. Deep down you have a passion for life, embrace change and thrive in a creative environment. You understand what motivates customers and team members alike and you find solutions to their problems that are economic, strategic and elegant. How would others that you have worked with describe you? Is this you? Joining the LEAP team gives you the opportunity to: work on a disruptive product that’s still in its very early stages, solving challenging problems that will revolutionize enterprise computing in the cloud. You’ll work for a hyper-growth company that is focused on creating the highest quality product in the market where your work has direct impact on customers every day. Job Purpose The LEAP Augmented Decision Platform (ADP) vision is to bring together a collection of cloud-based software and service products into an integrated offering with a unified experience.  The platform requires architecting for growth and to ensure it can operate at high scale, resilience and performance. At the same time, it must be carefully positioned with our customers and able to evolve rapidly in response to their needs. As the Data Scientist, you will utilize analytical, modelling, technical and problem-solving skills to develop customer cloud transformations and inform the strategic direction of product, solution and capability development. You will be required to input into customer propositions based on the insight you obtain from data analytics. You will establish and grow a data science discipline within the company that is able to repeatably and reliably deliver these outcomes and can also offer insight that informs the direction and growth of other group companies. You possess not only analytical skills but also commercial acumen in how solutions can impact customer operations and support strategic initiatives. This role will provide ample opportunities for growth and you must possess drive and ambition to extend your skills into new areas of customer focus that will evolve as part of your role and the growth of the business. You must ensure the company’s ability to deliver the proposed solutions and ensure they are aligned to the target NPS 100 customer program. The role is critical to the strategy of LEAP and will initially be a singleton role but will grow (based on success) to a larger team of data science professionals across a variety of disciplines. The role is primarily customer and internally focused within the company, but it is expected that you will also work within the STT ecosystem to assist in the evaluation and execution of the overall business strategy including M&A, technology and business architecture and deal structuring. Key Responsibilities  Own the data solution in the creation of customer proposals and support multiple sales cycles. Engage with customers to understand their data model and provide insight as part of an outcome sales process. Work with internal stakeholders to identify opportunities for leveraging company data to drive business solutions. Mine and analyse company and group data to optimize product development, marketing and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models, algorithms and testing frameworks to apply to data sets. Use predictive modelling to optimize customer experience, revenue generation and other business outcomes. Develop processes and tools to monitor and analyse model performance and data accuracy. Assist in the evaluation of acquisitions supporting the CTO and due diligence teams. ","Formal Education  Required: Bachelor’s degree in Statistics, Mathematics, Computer Science or a similar quantitative field Preferred: Master’s degree or PhD in any quantitative or analytical discipline  Specialist Knowledge (Work Experience, Further Qualification)  5-7 years of experience manipulating data sets and building statistical models. Recent experience of ML and AI. Moderate to strong exposure to cloud, web, search, marketing and related fields. Coding knowledge and experience with several languages: C, C++, Java, JavaScript, Python, Perl, etc. Experience in statistical analysis, data mining and database queries (SQL, NoSQL, R, Python, regression, trees, etc.) Knowledge of big and distributed data / computing tools (Map/Reduce, Hadoop, Splunk, Hive, etc.) Experience with web services and data (Redshift, Google Analytics and AdWords, Facebook Insight, etc.) Excellent written, verbal and interpersonal communication skills "
125,45851a85a9bcb12bc27061b46427b168,https://www.mycareersfuture.sg/job/data-scientist-carousell-45851a85a9bcb12bc27061b46427b168,Data Scientist,Full Time,CAROUSELL PTE. LTD.,"KEPPEL TOWERS 2, 240 TANJONG PAGAR ROAD 088540",Executive,Engineering,8000,11000,Monthly,14 Jan 2019,0,0,0,0,"Love buying and selling on Carousell? Then meet the team that handcrafts various parts of the mobile applications, website and backend systems in order to deliver the best user experience.  Here at Carousell, our data & engineering teams work on a myriad of problem domains. You get to work with data generated by millions of buyers and sellers & converting them into actionable insights, for both our users and team. You will have the autonomy to lead and explore data science projects to solve key business problems, by working together with a core team of passionate data analysts, scientists and engineers.  Every month, we host a range of meetups and talks on different topics, ranging from product hackdays to a Swift workshop by the engineering team members!  Ensuring that the user experience stays simple is complicated - and we take pride in our work to keep things that way.  Key features within Carousell include: search, discovery, chat, inbox, selling experience, profile management, payments, review system and many more.     Responsibilities:  Run machine learning experiments on a large scale Create predictive models from our data to power exciting next-generation features Build, validate, test, and deploy machine learning models using proven and experimental techniques Work with engineering to implement predictive models in production environment Initiate high impact machine learning projects and with actionable outcomes Provide expertise on concepts for machine learning and applied analytics and inspire the adoption of machine learning across the breadth of our organization ","Requirements:  Proficient in programming and algorithms (e.g Python, C++, Java) Familiar with general ML methods and expert in one of the following fields: Natural Language Understanding, Computer Vision, Recommendation or other applied machine learning field  You Are:  A self-motivated and independent learner driven by your curiosity in what you may uncover Motivated to make an impact on the experience of our users Happy to learn from and share knowledge with team members  Good To Have:  Experience in building ML models at scale e.g. with distributed Tensorflow, using real-time big data pipelines on platforms such as Spark/MapReduce Proficiency in implementation of machine-learning algorithms (DNN, CNN) in support of: Computer vision and object recognition/identification, Natural language processing Please send us your Kaggle and/or Github profile if any! "
126,1d684548961b62ab0dae9c10233fa1fb,https://www.mycareersfuture.sg/job/data-scientist-carousell-1d684548961b62ab0dae9c10233fa1fb,Data Scientist,Full Time,CAROUSELL PTE. LTD.,"KEPPEL TOWERS 2, 240 TANJONG PAGAR ROAD 088540",Executive,Engineering,5000,8000,Monthly,14 Jan 2019,0,0,0,0," Love buying and selling on Carousell? Then meet the team that handcrafts various parts of the mobile applications, website and backend systems in order to deliver the best user experience.  Here at Carousell, our data & engineering teams work on a myriad of problem domains. You get to work with data generated by millions of buyers and sellers & converting them into actionable insights, for both our users and team. You will have the autonomy to lead and explore data science projects to solve key business problems, by working together with a core team of passionate data analysts, scientists and engineers.  Every month, we host a range of meetups and talks on different topics, ranging from product hackdays to a Swift workshop by the engineering team members!  Ensuring that the user experience stays simple is complicated - and we take pride in our work to keep things that way.  Key features within Carousell include: search, discovery, chat, inbox, selling experience, profile management, payments, review system and many more.     Responsibilities:  Run machine learning experiments on a large scale Create predictive models from our data to power exciting next-generation features Build, validate, test, and deploy machine learning models using proven and experimental techniques Work with engineering to implement predictive models in production environment Initiate high impact machine learning projects and with actionable outcomes Provide expertise on concepts for machine learning and applied analytics and inspire the adoption of machine learning across the breadth of our organization ","Requirements:  Proficient in programming and algorithms (e.g Python, C++, Java) Familiar with general ML methods and expert in one of the following fields: Natural Language Understanding, Computer Vision, Recommendation or other applied machine learning field  You Are:  A self-motivated and independent learner driven by your curiosity in what you may uncover Motivated to make an impact on the experience of our users Happy to learn from and share knowledge with team members  Good To Have:  Experience in building ML models at scale e.g. with distributed Tensorflow, using real-time big data pipelines on platforms such as Spark/MapReduce Proficiency in implementation of machine-learning algorithms (DNN, CNN) in support of: Computer vision and object recognition/identification, Natural language processing Please send us your Kaggle and/or Github profile if any! "
127,abee2fa5297a677c52ebf9cadfd78d1a,https://www.mycareersfuture.sg/job/senior-manager-data-architecture-abee2fa5297a677c52ebf9cadfd78d1a,"Senior  /  Manager, Data Architecture",Permanent,Company Undisclosed,"NTUC INCOME CENTRE, 75 BRAS BASAH ROAD 189557",Manager,Information Technology,8000,15000,Monthly,14 Jan 2019,0,0,0,1,"You will be the Data Architect in NTUC Income and will create the strategic architecture roadmap for making digital experience a reality for our clients with modern data technologies. You are comfortable engaging senior stakeholders from both technology and business, and credibly guiding them to meet evolving market trends. You have deep and hands-on experience designing, developing high performance and scalable analytical solutions. You have a track record of implementing data and information architectures. You naturally collaborate with strategists and creative teams to workshop ideas, requirements, and define customer-centric experiences. You are passionate to deliver business value from data science, with an acute sense of change opportunities achievable with streaming analytics. You have overseen data management teams, working closely with application and technology teams.  Primary Responsibilities  Development of data architecture, strategy and governance to support business, application, security and technology strategic analysis and decision making   Assessment of current and target states of the data architecture to align with strategic or tactical objectives and to develop recommendations to close the gaps   Integrate cloud and on premise data warehouses and data lakes with metadata management, for powerful data-driven solutions   Be a trusted architect adviser to the management team and also give direction to guide the teams in solution design and implementation, being knowledgeable of data analytics trends   Presents roadmaps and architecture landscapes to senior stakeholders to fulfill the organization’s data science, cognitive, analytics and reporting requirements   Evaluation of data related technologies, and defining best practices in the assessments of standards, tools and methodologies including ETL development, to perform hands on data analysis   Create innovations in both analytic algorithms and methodologies with business impact. Responsible for the end-to-end process of analytical solutioning, involving conceptualization and business engagement   Ensures data quality and performs data cleansing to ensure a single source of truth, to enable data as a service for business units and front-end applications to consume   Perform quality review of data modeling design and deliverable, leading work sessions and deliverable presentations with business stakeholders   Manage architecture and technology governance committee agenda to ensure data, security and technology requirements aligned to enterprise standards and policies "," Bachelors or Master’s Degree in Computer Science, Information Technology, or equivalent   Minimum of 10 years IT experience and 5 years in data architecture, strategy, modeling and tools   At least 5 years design & development experience in enterprise data warehousing and analytics projects   Expert in Oracle, MSSQL, MYSQL database technologies   Best practices using data solutions using Hadoop, Cloudera, Spark, Kafka, MongoDB, NoSQL, Cassandra, Graph, etc   Familiar with Tableau, Microstrategy, Qlikview, Informatica, Talend, Hive and HBase   Understands machine learning, statistics, natural language processing, sentiment analysis, graph analysis, augmented and virtual reality   Proficient in handling complex technical development concepts, latest software tools and technologies, strong database concepts and designing techniques    Excellent in working effectively in a multi-tasking environment, ability to prioritize competing tasks   Fluency and efficiency in creating technical architecture documentation, presentations and stakeholder pitches   TOGAF or other industry recognized architecture certifications preferred   Competencies  Clear communicator with excellent oral and written skills and experience interacting with both business and IM individuals at all levels including the executive level    Possess the personal attributes of integrity, trust and credibility, hungry for results and show perseverance. A good listener, customer oriented, strong interpersonal skills   Creative thinking skills with deep technological expertise, business acumen and software development background   Able to guide and influence others easily and well organized with clear attention to detail   "
128,a781d0fe818de6c6f93707a2c2255137,https://www.mycareersfuture.sg/job/data-analyst-abakus-a781d0fe818de6c6f93707a2c2255137,Data Analyst,Permanent,ABAKUS (ASIA PACIFIC) PTE. LTD.,,"Executive, Junior Executive",Information Technology,4000,5500,Monthly,13 Jan 2019,0,0,0,1,"To reinvent an industry, you need to build an all-star team. Join Wecash if you want to realise a world of better living through responsible credit, by developing and promoting products that provide businesses with comprehensive and accurate evaluation of consumer credit worthiness as well as underwrite loans between funding sources and consumers. Wecash leverage upon the power of mobile technology, big data and machine learning to prevent fraud and determine consumer credit worthiness. Wecash started in 2014 and has since raised more than US$200 million in financing, acquired over 100 million users and processed more than US$5 billion in loans in 2017 alone. Wecash is creating a platform for financial products for the financially underserved utilizing artificial intelligence, big data and mobile technology. At Wecash, we move quickly, get stuff done, and are constantly iterating. Our innovative data science team of Wecash is looking for team mates who is keen on data analytics to join them in evaluating personal credit and detect financial fraud behaviours. You enjoy working on large data sets in a team with R&D culture. You are a self-starter and motivated to work within a team solving real-world problems and delivering the results. Responsibilities  Find model issues and propose method to improvement of model from evidence Interpret data, analyze results using statistical techniques and provide ongoing reports Develop case study and conduct experiments to identify, analyze, and interpret trends or patterns in complex data sets Process & visualize data and build features of the model Develop model to detect data outlier Identify and incorporate new data source that can benefit our business.   "," Demonstrated project experience in data science. Some knowledge of common data analytical models. Ability to interpret data and demonstrates the result to the team with critical thinking. Good programming skills in Python and database query. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Adept at queries, report writing and presenting findings Undergraduate or Master’s in Computer Science, Engineering, Statistics, Mathematics or Quantitative Finance. Willing to learn, innovative, good communication skills and team player  Bonus skills  Ability to communicate in Mandarin or Bahasa Indonesia or other Asian language to communicate with counterparts in China, Indonesia and other APAC offices. Relevant working experience in the financial industry. "
129,ec80cf4678d1bf50b66a251f06283161,https://www.mycareersfuture.sg/job/data-engineer-abakus-ec80cf4678d1bf50b66a251f06283161,Data Engineer,Permanent,ABAKUS (ASIA PACIFIC) PTE. LTD.,,Executive,Information Technology,5500,7000,Monthly,13 Jan 2019,0,0,0,1,"To reinvent an industry, you need to build an all-star team. Join Wecash if you want to realise a world of better living through responsible credit, by developing and promoting products that provide businesses with comprehensive and accurate evaluation of consumer credit worthiness as well as underwrite loans between funding sources and consumers. Wecash leverage upon the power of mobile technology, big data and machine learning to prevent fraud and determine consumer credit worthiness. Wecash started in 2014 and has since raised more than US$200 million in financing, acquired over 100 million users and processed more than US$5 billion in loans in 2017 alone. Wecash is creating a platform for financial products for the financially underserved utilizing artificial intelligence, big data and mobile technology. At Wecash, we move really quickly, get stuff done, and are constantly iterating. We are looking for a data engineer to support our expansion in Southeast Asia who will collaborate with the Data Science team to streamline our data products for analytics, operation and research. The candidate should be proactive and willing to keep-up with cutting-edge technologies. Responsibilities:  Develop, deploy and maintain machine learning models Design simulation and testing frameworks for model validation Identify, collect and organize new data sources Research on new technologies for efficient data management   "," Degree in Computer Science/Mathematics/Statistics/Physics, or related fields Proficiency in Python, SQL and Linux shell with minimum 1 year of hands-on experience Experience in statistical modelling Knowledge in Web Frameworks and RESTful APIs Knowledge in Version Control and Continuous Integration tools Willing to learn, innovative, good communication skills and team player  Bonus Skills  Working experience in NoSQL Working experience in Machine learning Ability to communicate in Mandarin or Bahasa Indonesia or other Asian language to communicate with counterparts in China, Indonesia and other APAC offices. "
130,d26dc1e1fc80fe7249dd35be5ef90920,https://www.mycareersfuture.sg/job/data-science-lead-consultant-cpm-consulting-d26dc1e1fc80fe7249dd35be5ef90920,Data Science Lead Consultant,Permanent,CPM CONSULTING PTE. LTD.,78 SHENTON WAY 079120,Professional,Information Technology,7000,9000,Monthly,11 Jan 2019,0,0,0,1,"Primary Responsibilities:  Understand large data sets, build data models to address business problems Undertake data collection, pre-processing and analysis Build predictive models and machine learning algorithms  The role will involve analysis and extensive data crunching with good amount of hands on programming skills. This role requires following skills and experience:  Proven experience (5+Years) as a Data Scientist or Data Analyst Good knowledge on cloud technologies especially Microsoft Azure. Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills    Candidate should possess good soft skills as mentioned below:  Should possess excellent problem solving and is able to work effectively in a less structured environment and manage time. Excellent verbal and written communication skills Work closely with onsite and offshore team members Willing to travel to the customers locations on need basis outside of Singapore ","Qualification:  Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred "
131,c2d0b4bd6eee47a534e143d554b82e37,https://www.mycareersfuture.sg/job/data-science-consultant-cpm-consulting-c2d0b4bd6eee47a534e143d554b82e37,Data Science Consultant,"Permanent, Full Time",CPM CONSULTING PTE. LTD.,78 SHENTON WAY 079120,Professional,Information Technology,6000,8000,Monthly,11 Jan 2019,0,0,0,1,"Primary Responsibilities:  Understand large data sets, build data models to address business problems Undertake data collection, pre-processing and analysis Build predictive models and machine learning algorithms  The role will involve analysis and extensive data crunching with good amount of hands on programming skills.","This role requires following skills and experience:  Proven experience (5+Years) as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills    Candidate should possess good soft skills as mentioned below:  Should possess excellent problem solving and is able to work effectively in a less structured environment and manage time. Excellent verbal and written communication skills Work closely with onsite and offshore team members Willing to travel to the customers locations on need basis outside of Singapore "
132,b91e23b857e76931dac314eba1ca39d6,https://www.mycareersfuture.sg/job/senior-analyst-data-science-lazada-south-east-asia-b91e23b857e76931dac314eba1ca39d6,"Senior Analyst, Data Science",Full Time,LAZADA SOUTH EAST ASIA PTE. LTD.,"AXA TOWER, 8 SHENTON WAY 068811",Senior Executive,Information Technology,5000,7000,Monthly,11 Jan 2019,0,0,0,0,"Team Introduction Lazada is the number one online shopping & selling destination in Southeast Asia – present in Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam. Lazada helps more than 80,000 local and international sellers as well as 2,500 brands serve the 560 million consumers in the region through its marketplace platform, supported by a wide range of tailored marketing, data, and service solutions. Lazada offers an excellent customer experience through a wide network of logistics partners and its own first- and last-mile delivery arm. Job Description As a Lazada data scientist, you will face different challenges. You will be applying different techniques such as deep learning, reinforcement learning, natural language processing and operational research to solve real world problems. You will be:  Responsible for recommendation frameworks and algorithms for products, product topics, sellers, and feeds stream by item quality control and online personalization. Responsible for developing audience, content and bidding algorithms for digital marketing on channels, and help engage our customers better by notifications. Responsible for campaign operation algorithms for seller and product recruiting, product scheduling, stock prediction, pricing strategy, and onsite recommendations. Responsible for ecommerce knowledge representations, quality controlling and caring for product, category, seller and reviews; natural language processing for opinion mining and text generation. "," At least two years relevant working experience; Masters or PhD degree in computer science, operations research, statistics, mathematics, or equivalent fields; Solid theoretical foundations and industry experiences in machine learning, natural language processing, personalized search & recommendation, user/seller behavior modeling, sales prediction, knowledge graph and representation, marketing algorithm, large scale data analysis/platforms; Expertise in deep learning, reinforcement learning, explore & exploit algorithms, control theory is preferred; Experience in machine learning libraries such as Tensorflow, Keras, Theano, etc; Solid programming skills in SQL, Java, Python and Scala; Passionate about technology, demonstrate ability to generate new ideas and innovations; excellent in self-learning, problem analyzing and solving; work independently, proactive, strong teamwork spirit; Good interpersonal and communication skills, including the ability to describe the logic and implications of a complex model to stakeholders.  "
133,0839839b38e2ab1a54c8448a9bb1edc3,https://www.mycareersfuture.sg/job/lead-data-scientist-m1-0839839b38e2ab1a54c8448a9bb1edc3,Lead / Data Scientist,Full Time,M1 LIMITED,10 INTERNATIONAL BUSINESS PARK 609928,"Middle Management, Manager","Engineering, Information Technology, Others, Sciences / Laboratory / R&D, Telecommunications",6000,9000,Monthly,11 Jan 2019,0,0,0,0," Lead and manage Data Science activities, and ensure alignment to business objectives and strategies Collaborate with stakeholders to identify data analytics opportunities that will produce actionable insights and drive new business initiatives Ensure end-to-end operational efficiency on data preparation, extraction, transformation and loading of complex big data sets of different formats from various source systems Build Data Science talent needs by developing team expertise in mathematics, quantitative analysis, data mining and machine learning to develop statistical models and algorithms Provide technical leadership and subject matter expertise on usage of big data technologies, tools and techniques that will improve data processing or enhance the results of the analytics outcome "," Degree in Statistics, Mathematics, Computer Science, Data Science and Analytics or related field with 5+ years' experience in Data Analytics and machine learning on enterprise data Expert technical abilities with machine learning, statistical and probability methods Excellent understanding of machine learning techniques (classification, regressions, dimensionality reduction, etc) Working experience on Big Data development and related technologies (R, Python, Scala, Matlab, Java, Hadoop, Spark, Hive, Impala, Sqoop, Kafka, etc) Working knowledge of relational databases, HP Vertica, SQL & NoSQL databases Proficient in SQL, Oracle, PostgreSQL, ETL/ELT applications Experience with:   Visualization/business intelligence tools such as Tableau and Qlikview Geospatial analysis using telecommunications network data would be advantageous   Telecom domain knowledge with experience in multi-tiered Customer Care, Order Management, Loyalty, Business Support and Network Provisioning systems would be advantageous Comfortable working with very big complex data sets of various formats Excellent analytical, communication, presentation and technical proposals writing skills Ability to handle multiple simultaneous tasks, prioritize and meet tight deadlines "
134,e3cad7794ab19d8da17f9eb1e8dc8c6c,https://www.mycareersfuture.sg/job/senior-director-data-scientist-cloudstream-asia-pacific-e3cad7794ab19d8da17f9eb1e8dc8c6c,Senior Director Data Scientist,Permanent,CLOUDSTREAM ASIA PACIFIC PTE. LTD.,"MYP CENTRE, 9 BATTERY ROAD 049910",Senior Management,Banking and Finance,,,,11 Jan 2019,0,0,0,1,"This role of S/VP Data Science is ideal for a person who gets excited about leading (hands-on) a team of 10 Ph.D. Data Scientists to research and develops innovative large-scale data science products using machine learning and A.I. There is massive and unique real-time data to leverage, as well as an install base of clients that reads like a ""who's who"" of the global economy. The focus is on the two main revenue generators; • Manage a current team of 9 Data Scientists and grow it • Make the core marketing leading consumer identity platform more accessible, flexible, dynamic, and on-demand • Model and put into production Tech Stack: • Scala, Python • Spark, SparkML, H2O, AutoML, SciKit Learn, etc. • Google Cloud Platform (GCP), BigTable, BigQuery    ","Qualifications: • Relevant Ph.D. (i.e. Computer Science, Mathematics, Statistics or other relevant quantitative fields). • A proven track record of data science leadership and hands-on experience as a Data scientist • Domain experience with MarTech / Adtech / Programmatic / Consumer Behavior / Attribution / Audience Segmentation & Targeting. • Experience in working on large-scale, distributed systems environment • Expertise in applying Machine Learning and Artificial Intelligence on large-scale data • Experience facilitating collaboration between geographically distributed cross-functional teams • Deep knowledge of software development life-cycle, and Agile methodologies"
135,c62de4544d46e3e385930e108b6643c1,https://www.mycareersfuture.sg/job/intern-ds-tookitaki-holding-c62de4544d46e3e385930e108b6643c1,Intern - DS,Internship,TOOKITAKI HOLDING PTE. LTD.,"HIGH STREET CENTRE, 1 NORTH BRIDGE ROAD 179094",Fresh/entry level,Information Technology,1000,1500,Monthly,11 Jan 2019,0,1,0,0,"About Tookitaki Tookitaki is providing machine learning-powered enterprise solutions to address regulatory compliance problems in the financial services sector. Incorporated in November 2014 in Singapore, the company is led by a core team with cumulative 30-years’ experience in finance, AI and big data analytics. Backed by institutional investors such as Jungle Ventures and Spring Seeds (a subsidiary of the Singapore Government), the company’s accolades include:  We are among the selected 21 companies which got accreditation from the government of Singapore for their stringent technology, finance and operations due diligence (www.imda.gov.sg/industry-development/programmes-and-grants/startups/accreditation-at-sgd) We won the first place in the MAS FinTech Awards (Singapore SME) in the regulatory compliance space from the Monetary Authority of Singapore for our approach to make the workflows in AML and Reconciliation scalable and highly auditable (beyond ML based black box approach) (www.mas.gov.sg/News-and-Publications/Media-Releases/2016/Ten-FinTech-companies-recognised-for-innovative-solutions-at-inaugural-FinTech-Awards.aspx) We are voted as one of the top 21 AI start-ups focusing on the financial services space by medici (www.letstalkpayments.com/medici-top-21-ai-companies/) We graduated from Nomura's corporate innovation program in November 2017 where we successfully delivered our product – Reconciliation Management Suite – in a pilot environment (https://inc42.com/buzz/nomura-voyager-fintech-accelerator-voyager-demo-day/)  In regulatory compliance, we focus on anti-money laundering and reconciliation and our products – Alerts Management Suite (AMS) and Reconciliation Management Suite (RMS) – cater to these areas, respectively. The mission or goal is to achieve 40% operational efficiency with significant savings in infrastructure and operational costs. Tookitaki's unique selling proposition (USP) is in our approach where we combine our proprietary modelling technique with our complete auditable framework to make the process dynamic and highly explainable (moving out of the black box approach). Moreover, our flexible on-premise and cloud-packaging capabilities, along with the option of easy integration to exiting core-banking applications (REST API end points), make the solution deployment faster with lesser barrier to entry. Today, regulatory compliance processes have become more complex and fluidic, increasing the chances for rule-based models to fail. Banks need to move beyond static rule-based systems and adopt a new approach to prevent financial and reputation loss. Tookitaki bridges the gap with its innovative software products – AMS, RMS and PMS. Role: Data Science Intern The data science team is responsible for solving business problems on complex data. Data complexity could be characterized in terms of volume, dimensionality and multiple touchpoints/sources. We understand the data, ask fundamental-first-principle questions and apply our analytical and machine learning skills to solve the problem in the best way possible. The problems that we tackle are focused on our 2 products/IP related to anti-money laundering (AML) and financial exception management. In addition, the team plays a pivotal role in shaping company IP, primarily in area of approach, model selection, model tuning and feature engineering, so that engineering can take this up and automate the same via a pipeline.  ","Our Ideal Candidate Our Data Science team is looking for a Data Science Intern, who will:  Mine and analyze data from company databases to drive improvement of product development Develop custom data models and algorithms to apply to data sets Develop techniques to make ML algorithms interpretable Coordinate with different functional teams to implement models and monitor outcomes Develop processes to monitor and analyze model performance  Desired technical Requirements  Strong problem-solving skills with an emphasis on product development Experience using statistical computer languages (R, Python) to manipulate data and draw insights from large data sets Experience using pyspark to make use of distributed computing would be a plus Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications Excellent written and verbal communication skills for coordinating across teams A drive to learn and master new technologies and techniques  Desired Non-technical Requirements  Very strong communication skills both written and verbal Strong desire to work with start-ups Must be a team player   "
136,1455629d24a90a87a21bcb2b806f992d,https://www.mycareersfuture.sg/job/senior-assistant-director-deputy-director-planning-organization-division-ministry-home-affairs-1455629d24a90a87a21bcb2b806f992d,"Senior Assistant Director /  Deputy Director (Data Science Unit), Planning and Organization Division",Full Time,Ministry of Home Affairs,"NEW PHOENIX PARK, 28 IRRAWADDY ROAD 329560",Unknown,"Others, Public / Civil Service",,,,10 Jan 2019,0,0,0,0,"The Ministry of Home Affairs (MHA) aspires to be a world-class organisation in delivering safety and security for our people. In pursuing our mission to make Singapore our Safe and Secure Best Home, we remain always constant and true to our core values of Honour and Unity. Responsibilities  Keep abreast of latest developments in the fields of Data Science / Artificial intelligence. Actively guide application and adaptation of statistical and machine learning techniques on large-scale datasets to address the diverse business needs for MHA Design and implement workflows for data pre-processing and feature engineering, supervise the development of machine learning models, and oversee experiments to evaluate techniques and algorithms Lead on statistical evaluation of analytical output (e.g. model) and regular review of productionized models; refresh/ retire models Manage data analysis and visualisation projects and present analytical insights to business users and stakeholders Collaborate closely with business users to extract actionable insights from data and processes and guide the team towards co-building data-driven & customized solutions Formulate, refine and guide projects in one or more of the following areas:  Data mining and knowledge discovery Machine learning Visualisation, link analysis / graph databases Artificial intelligence algorithms Natural language processing GISFormulate, refine and guide projects in one or more of the following areas:   Job requirements  Quantitative discipline that involves Data Science/Analytics, Statistics, Applied Mathematics &/or Scientific Computing. Possess 5 or more years of extensive experience solving analytical problems using quantitative approaches, including machine learning and statistical modelling. A strong track record of supervising practical delivery of projects is an advantage. Programming in Python &/or R Using and adapting algorithms from machine learning libraries such as scikit-learn, numpy/scipy, pandas, NLTK &/or Tensorflow Visualisation tools such as Tableau, Qlikview/Qliksense, &/or Microsoft Power BI Effectively conveying complex data analysis and results to non-specialist users, as well as being able to converse in technical terms to experts Working both independently and in teams Working across institutional boundaries  All new appointees will be appointed on a two-year contract in the first instance. We wish to inform that only shortlisted candidates will be notified within 30 days upon closing of the advertisement.",None
137,2be22e0e48ea8549f897c1ba96d0a02c,https://www.mycareersfuture.sg/job/assistant-director-senior-manager-data-analysis-planning-organization-division-ministry-home-affairs-2be22e0e48ea8549f897c1ba96d0a02c,"Assistant Director  /  Senior Manager, Data Analysis (Data Science Unit), Planning and Organization Division",Full Time,Ministry of Home Affairs,"NEW PHOENIX PARK, 28 IRRAWADDY ROAD 329560",Unknown,"Others, Public / Civil Service",,,,10 Jan 2019,0,0,0,0,"The Ministry of Home Affairs (MHA) aspires to be a world-class organisation in delivering safety and security for our people. In pursuing our mission to make Singapore our Safe and Secure Best Home, we remain always constant and true to our core values of Honour and Unity. Responsibilities  Apply statistical and machine learning techniques on large-scale datasets to address the diverse business needs for MHA Manage and undertake data pre-processing and feature engineering, build and deploy machine learning models, and design experiments to evaluate techniques and algorithms Manage data analysis and visualisation projects and present analytical insights to business users and stakeholders Collaborate closely with business users to extract actionable insights from data and processes and develop data-driven & customized solutions to meet their need Undertake projects in one or more of the following areas:  Data mining and knowledge discovery Machine learning Visualisation, link analysis / graph databases Artificial intelligence algorithms Natural language processing GIS    Job requirements  Quantitative discipline that involves Data Science/Analytics, Statistics, Applied Mathematics &/or Scientific Computing. Possess 2 or more years of extensive experience solving analytical problems using quantitative approaches, including machine learning and statistical modelling. Past practical work experience with a variety of structured and unstructured datasets is an advantage. Programming, preferably in Python &/or R Using and adapting algorithms from machine learning libraries such as scikit-learn, numpy/scipy, pandas, NLTK &/or Tensorflow Visualisation tools such as Tableau, Qlikview/Qliksense, &/or Microsoft Power BI Effectively conveying complex data analysis and results to non-specialist users, as well as being able to converse in technical terms to experts Working both independently and in teams; good interpersonal and communication skills are essential  All new appointees will be appointed on a two-year contract in the first instance. We wish to inform that only shortlisted candidates will be notified within 30 days upon closing of the advertisement.",None
138,44a19fabd53092ae2a4dfd97dff78744,https://www.mycareersfuture.sg/job/assistant-director-senior-manager-operations-research-planning-organization-division-ministry-home-affairs-44a19fabd53092ae2a4dfd97dff78744,"Assistant Director  /  Senior Manager, Operations Research (Data Science Unit), Planning and Organization Division",Full Time,Ministry of Home Affairs,"NEW PHOENIX PARK, 28 IRRAWADDY ROAD 329560",Unknown,"Others, Public / Civil Service",,,,10 Jan 2019,0,0,0,0,"The Ministry of Home Affairs (MHA) aspires to be a world-class organisation in delivering safety and security for our people. In pursuing our mission to make Singapore our Safe and Secure Best Home, we remain always constant and true to our core values of Honour and Unity. Responsibilities  Apply Operations Research (OR) techniques (such as mathematical programming and simulation) to address the diverse business needs for MHA Apply mathematical programming or simulation techniques to optimize resources for MHA Collaborate closely with business users to extract actionable insights from data and processes and develop data-driven & optimize solutions to meet their needs Manage OR projects and present analytical insights to business users and stakeholders Manage large scale and complex OR studies which may be developed in-house of outsourced to external or consultancy agencies and/or academic institutions. Strong understanding and actual project experience in one or more of the following areas preferred:  Mathematical Programming Discrete-Event Simulation Agent-based Simulation   Job requirements  Quantitative discipline: Industrial/Systems Engineering, Mathematics, Statistics or Operations Research/Decision Science or related disciplines. Good problem solvers with strong analytical and mathematical skills (such as probability, statistics and optimisation etc.). Background in operations research, particularly knowledge in modelling and simulation, probability and mathematical programming is required. Candidates should preferably have 2 to 3 years of relevant working experience. Familiarity in mathematical programming tools and process simulation tools such as Cplex, Gurobi, ExtendSim and AnyLogic is an advantage. Experience with handling data (merging data and data transformation) and proficiency in programming languages such as Python, R, VBA, Java, C++ is preferred. Able to work well both independently and as part of a team Able to communicate technical aspects effectively to non-technical audience.  All new appointees will be appointed on a two-year contract in the first instance. We wish to inform that only shortlisted candidates will be notified within 30 days upon closing of the advertisement.",None
139,1469fb08fd834147c3d8c44c21d02841,https://www.mycareersfuture.sg/job/accounts-executive-trax-technology-solutions-1469fb08fd834147c3d8c44c21d02841,Accounts Executive,Full Time,TRAX TECHNOLOGY SOLUTIONS PTE. LTD.,"UOB PLAZA, 80 RAFFLES PLACE 048624",Junior Executive,Accounting / Auditing / Taxation,2500,3500,Monthly,10 Jan 2019,0,0,0,0,"Trax is the world leader in computer vision solutions for retail, ranking in the top 25 Fastest Growing Companies on Deloitte's Technology Fast 500 list. The company enables tighter execution controls in-store and the ability to leverage competitive insights through their in-store execution tools, market measurement services and data science to unlock revenue opportunities at all points of sale. Trax does this using smartphones, tablets, fixed cameras and robotics to gain actionable shelf analytics in real-time.  With over 175 clients, in over 50 countries, top brands such as Coca-Cola, AB InBev, Nestle, Henkel, PepsiCo and many more, leverage Trax globally to manage their in-store execution and increase revenues at the shelf. Trax is headquartered in Singapore with offices worldwide. To learn more about Trax, please visit www.traxretail.com","Area of responsibilities: • Handle full sets of accounts (GL and AP functions) • Ensure timely month-end and year-end closing • Prepare monthly financials and management reports • Maintain fixed asset schedules and balance sheet schedules • Liaise with external parties, auditors, banks etc • GST submission • Other ad-hoc assignment(s)  Required Skills & Experiences: • Diploma in Accountancy (or equivalent) • Min 3 - 5 years relevant working experience • Independent with problem solving skills and able to work under minimal supervision • Responsible and accountable • Able to work under pressure and meet reporting deadline • Good time management, good organizing ability, team player • Attention to detail and enter data accurately and efficiently • Maintain strict confidentiality in performing the required duties • Possess cultural awareness and sensitivity"
140,2bfaf170683ecee0e339739b0a192e3f,https://www.mycareersfuture.sg/job/vice-president-lazada-south-east-asia-2bfaf170683ecee0e339739b0a192e3f,Vice President,Permanent,LAZADA SOUTH EAST ASIA PTE. LTD.,"AXA TOWER, 8 SHENTON WAY 068811",Manager,Sales / Retail ,9000,15000,Monthly,10 Jan 2019,0,0,0,1,"Reporting to Regional Category Director, you will be responsible for:  Define & drive Brand strategy:     Define roadmap for LazMall Brands, and be responsible for the P&L Need to understand nuances/dynamics of business in 6 countries, & coach the respective teams in need accordingly Lead platform strategic initiatives and analyses, impacting the region, coordinate across countries & functions and manage execution and proper follow up. Deliver complex cross functional regional projects: Drive new product launches, cross functional innovation projects with product and business teams to deliver on the GMV and Brand success.   Partners’ and Brands onboarding and incubation:     Responsible for having a strong regional relationship with brands like Grab, Razer, Starbucks and Microsoft. Should have good negotiation skills with brands at regional levels and then cascade it to local countries Roll out partner presence in the countries with smooth and efficient processes and ensure successful launches with local teams, including tests and pilots Enable Brands to become Regional SEA online players on Lazada and adopt Lazada key services like Brand Portal, data science and Marketing Solutions.   Marketing and Onsite     Drive joint marketing plans with Brands and own their presence on Lazada Ensure Brand creation and maintenance of Official Stores across the Region, drive launches for these Stores       ","In order to succeed in the role, you should ideally have:    5+ years of sales/business development and relevant eCommerce experience is a must. Ability to deliver tangible results whilst working in a challenging and ever-changing environment Strong communication, interpersonal and negotiations skills Able to deliver results and meet targets. Willing to work in a fast-paced and collaborative environment including stakeholder management in both Regional and Country environments. Strong Microsoft Office skills (Excel, Word and PowerPoint) "
141,d1a6500f0fbbf819fbcf88fa9d25aae8,https://www.mycareersfuture.sg/job/solution-delivery-specialist-d1a6500f0fbbf819fbcf88fa9d25aae8,Solution Delivery Specialist,"Permanent, Full Time",Company Undisclosed,,Manager,Information Technology,,,,10 Jan 2019,0,0,0,1,"IN THIS POSITION YOU WILL:  Have opportunity to work closely with a world-class global engineering team, business leaders on exciting real-world data problems to make a positive impact on business Manage the delivery of analytics and data science project life cycles using effective portfolio management methods and tools Lead stakeholder engagements to ensure efficient execution of Analytics projects Develop an effective & efficient solution delivery strategy leveraging internal and external resources as well as modern data & analytics platforms Manage the embedding of analytics and data science products/apps into production by working closely with the Data Science and enterprise IT teams ","KEY REQUIREMENTS:  Bachelor or Higher Degree in Computer Science / Information Systems / Business / Engineering Minimum 5 years of experience of delivering mature/production ready analytics and data science products and apps in a related industry Strong experience with data management principles including but not limited to data acquisition, master data, data modelling, data security and governance Proficiency with data analytics, data science and Cloud platform technologies Demonstrable ability to navigate complex organisation, process and technical challenges Demonstrable ability to manage budget effectively Excellent written and oral communication skills, well versed in using common project management and office productivity software Ability to work effectively with a diverse range of stakeholders from both technical and business backgrounds "
142,7e36e8f87d7af76662cd8a126554572c,https://www.mycareersfuture.sg/job/avp-data-scientist-regional-consumer-banking-operations-to-dbs-bank-7e36e8f87d7af76662cd8a126554572c,"AVP, Data Scientist (Customer Science), Regional Consumer Banking Operations, T&O (18000449)","Permanent, Full Time",DBS BANK LTD.,,"Middle Management, Manager",Banking and Finance,6500,11700,Monthly,09 Jan 2019,0,0,0,1,"Business Function  Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.  Responsibilities   Development and solutioning of real time predictive analytics to derive actionable insights to intervene positively into the customer’s digital journey Perform full life-cycle of Data Scientist / Analyst activities, including conceptualization to operationalization  Primary focus will be in applying data science to solve business problems; doing statistical analysis, building high-quality prediction systems, and use deep learning techniques Able to understand and solve the business problem by translating into a data model and building insights into an actionable outcome  Collaborate with cross-functional business teams to deliver high-impact insights using analytics across a variety of customer servicing areas Research, design, implement and validate models / algorithms to analyse diverse sources of data to achieve targeted outcomes  Carry out customer behaviour analytics and deliver actionable insights in real time; through behaviour segmentation, predictive modelling, lifetime value modelling, churn prevention, statistical simulations and what if scenarios Stay on top of current industry trends on machine learning/AI "," You are: 	 Curious and have a strong appetite for intellectual challenges. Able to pick up new methods and techniques quickly and apply towards solving a problem at hand Keen on learning, data, scale and agility. You excel at making complex concepts simple and easy to understand by those around you. You’re driven to show the world the power of applied analytics Passionate about asking and answering questions in large datasets, and you can communicate that passion to product managers and engineers Attracted to a fast paced, hypothesis and test driven, collaborative and iterative engineering environment Driven, strategically focused, self-starter and organized with strong attention to detail A good team player with excellent communication skills    You have: 	 A university degree or higher in applied statistics/ data science/ Computing or related quantitative discipline, with a strong background in statistical concepts Proven track record of big data analytics and delivering impact to the business Deep and practical understanding on implementing high performance, well-behaved analytics applications; data ingestion, feature engineering, model selection, training, validating and deployment A deep understanding of statistical and predictive modelling concepts, machine-learning, deep learning models and NLP Relevant experience in the following: 		 Excellent Python, Pyspark, Spark SQL/mysql hands-on experience Excellent hands-on experience in Hadoop eco-system (Hive, HDFS, Pig etc.) Excellent experience in end to end data science workflow, starting from data extraction, cleansing, wrangling, modelling and deployment in production environment to deliver business results Familiarity with Linux based operating system  Familiarity with data engineering pipelines Knowledge of software development life cycle preferred Experience creating real time and rich data visualizations that involves large datasets Experience manipulating structured and unstructured data sources for analysis     "
143,e6f0580e337e2ac87233008afd07d02b,https://www.mycareersfuture.sg/job/vp-data-scientist-business-analytics-consumer-banking-group-dbs-bank-e6f0580e337e2ac87233008afd07d02b,"VP, Data Scientist, Business Analytics, Consumer Banking Group (180004XI)",Full Time,DBS BANK LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Senior Management,Information Technology,10400,18700,Monthly,09 Jan 2019,0,0,0,0,"Business Function  As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business – they were made just right for you.    About this role    The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.   Responsibilities     Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc. Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more. Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region Help the team with methodology and guidance in the areas of experiment design and data analysis. "," Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background. 6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results  At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models. Good understanding of technology tools especially those related to analytics, data & statistical modelling.  Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.  Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc.. Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful. Ability to communicate complex analysis/models across a diverse team. Good written and oral communication skills "
144,cd3b4e7b27b76be0d4d47bf766fc1b70,https://www.mycareersfuture.sg/job/svp-data-scientist-business-analytics-consumer-banking-group-dbs-bank-cd3b4e7b27b76be0d4d47bf766fc1b70,"SVP, Data Scientist, Business Analytics, Consumer Banking Group (180004XI)",Full Time,DBS BANK LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Senior Management,Information Technology,10000,20000,Monthly,09 Jan 2019,0,0,0,0,"Business Function  As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business – they were made just right for you.    About this role    The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.   Responsibilities     Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc. Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more. Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region Help the team with methodology and guidance in the areas of experiment design and data analysis. "," Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background. 6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results  At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models. Good understanding of technology tools especially those related to analytics, data & statistical modelling.  Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.  Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc.. Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful. Ability to communicate complex analysis/models across a diverse team. Good written and oral communication skills "
145,1f257f3fe7b5eebd4832a6d4f3f9bfe6,https://www.mycareersfuture.sg/job/avp-data-engineer-ibg-digital-institutional-banking-group-dbs-bank-1f257f3fe7b5eebd4832a6d4f3f9bfe6,"AVP, Data Engineer, IBG Digital, Institutional Banking Group (1800044U)","Permanent, Full Time",DBS BANK LTD.,,"Manager, Senior Executive",Banking and Finance,6500,11700,Monthly,09 Jan 2019,0,0,0,1,"Job Purpose  The Data Engineer will provide big data engineering support to the Institutional Banking Group (IBG) Business Analytics Team in various data science projects. This role’s primary job responsibility is defining the framework and process for preparing data for analytical uses. The right candidate will be one excited by the prospect of designing data engineering solutions from ground up and will support data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Responsibilities  Create and maintain optimal data pipeline architecture; Assemble large, complex data sets that meet functional / non-functional business requirements; Identify, design, and implement internal process improvements: automating manual processes, Perform ETL/ELT, Data Modelling, Data Profiling, Data Cleansing, Feature Engineering tasks as part of Data Analytics Life Cycle (DALC); Work with stakeholders (data analysts, data scientists, technology support team) to assist with data-related technical issues and support data infrastructure needs; Build processes supporting data transformation, data structures, dependency and workload management "," Master’s Degree in software Engineering, Computer Science or related fields with minimum 3 years data engineering work experience in big data analytics environment Strong in data engineering skills with big data stack (Hadoop, Spark, Kafka, etc) Strong in transactional SQL, Enterprise Data Warehouse Experience with Graph Database, NoSQL databases Experience with Feature Engineering Experience with Master Data Management Experience with scripting languages: UNIX/Linux Shell, SQL, Python (Pandas, PySpark etc), Scala, R, etc "
146,89827330ea0c49864b2a6ea27caa1932,https://www.mycareersfuture.sg/job/senior-associate-data-engineer-ibg-digital-institutional-banking-group-dbs-bank-89827330ea0c49864b2a6ea27caa1932,"Senior Associate, Data Engineer, IBG Digital, Institutional Banking Group (1800044U)","Permanent, Full Time",DBS BANK LTD.,,"Manager, Senior Executive",Banking and Finance,5000,9000,Monthly,09 Jan 2019,0,0,0,1,"Job Purpose  The Data Engineer will provide big data engineering support to the Institutional Banking Group (IBG) Business Analytics Team in various data science projects. This role’s primary job responsibility is defining the framework and process for preparing data for analytical uses. The right candidate will be one excited by the prospect of designing data engineering solutions from ground up and will support data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Responsibilities  Create and maintain optimal data pipeline architecture; Assemble large, complex data sets that meet functional / non-functional business requirements; Identify, design, and implement internal process improvements: automating manual processes, Perform ETL/ELT, Data Modelling, Data Profiling, Data Cleansing, Feature Engineering tasks as part of Data Analytics Life Cycle (DALC); Work with stakeholders (data analysts, data scientists, technology support team) to assist with data-related technical issues and support data infrastructure needs; Build processes supporting data transformation, data structures, dependency and workload management "," Master’s Degree in software Engineering, Computer Science or related fields with minimum 3 years data engineering work experience in big data analytics environment Strong in data engineering skills with big data stack (Hadoop, Spark, Kafka, etc) Strong in transactional SQL, Enterprise Data Warehouse Experience with Graph Database, NoSQL databases Experience with Feature Engineering Experience with Master Data Management Experience with scripting languages: UNIX/Linux Shell, SQL, Python (Pandas, PySpark etc), Scala, R, etc "
147,ed58ebbae1bdf3f2d7af4cb80d25bcea,https://www.mycareersfuture.sg/job/avp-ai-deployment-engineer-ibg-digital-institutional-banking-group-dbs-bank-ed58ebbae1bdf3f2d7af4cb80d25bcea,"AVP, AI Deployment Engineer, IBG Digital, Institutional Banking Group (180004A2)","Permanent, Full Time",DBS BANK LTD.,,"Manager, Senior Executive",Banking and Finance,6500,11700,Monthly,09 Jan 2019,0,0,0,1,"Job Purpose  The AI (Artificial Intelligence) Deployment Engineer will provide software engineering support to the Institutional Banking Group (IBG) Business Analytics Team in various data science projects. This role’s primary job responsibility is facilitating the wrapping of data science work into a viable product. The right candidate will be one excited by opportunities to apply software engineering in the fast-growing area of AI, help build AI development and production infrastructure, as well as to set technical standards. Responsibilities  Build, manage and automate pipelines for AI model development Adopt maintainable, readable, modular solutions using modern software engineering best practices Transform Data Science work into pilot and minimum viable products Perform code optimization, code reviews to improve the quality of Data Scientist’s work Create APIs for integrate data source into applications Create APIs for downstream usage of AI models Create visualisations to display views of AI models Keep track of model development iterations with a versioning control system  Automate software testing: unit test, branch test, integration test and security test  Monitor AI model releases, branches for different issues and user stories "," Master’s Degree in software Engineering, Computer Science or related fields with minimum 5 years software engineering work experience on enterprise products Experience with multi-tier software application development with best software engineering practices Familiar with tools such as Anaconda, Jupyter, Eclipse, R Studio, Jira, Git, SVN, Jenkins, etc Demonstrated proficiency in Python (Pandas, SciPy, NumPy, PySpark, etc), Scala, R, Java, Java Script, SQL, Shell Script  Experience with big data stack (Hadoop, Spark, Kafka, etc), and structured (SQL) and unstructured databases (Graph Database, NoSQL) Experience with virtual computing (virtual machine and Docker) for creation of easily transportable and self-contained environments Experience with converting AI models and integrating them into production Experience with code reviews, building interfaces, and deployment systems Demonstrated strong interests in learning about AI through own initiatives "
148,952541ff26aba4d294d73ad80645597c,https://www.mycareersfuture.sg/job/senior-associate-ai-deployment-engineer-ibg-digital-institutional-banking-group-dbs-bank-952541ff26aba4d294d73ad80645597c,"Senior Associate, AI Deployment Engineer, IBG Digital, Institutional Banking Group (180004A2)","Permanent, Full Time",DBS BANK LTD.,,"Manager, Senior Executive",Banking and Finance,5000,9000,Monthly,09 Jan 2019,0,0,0,1,"Job Purpose  The AI (Artificial Intelligence) Deployment Engineer will provide software engineering support to the Institutional Banking Group (IBG) Business Analytics Team in various data science projects. This role’s primary job responsibility is facilitating the wrapping of data science work into a viable product. The right candidate will be one excited by opportunities to apply software engineering in the fast-growing area of AI, help build AI development and production infrastructure, as well as to set technical standards. Responsibilities  Build, manage and automate pipelines for AI model development Adopt maintainable, readable, modular solutions using modern software engineering best practices Transform Data Science work into pilot and minimum viable products Perform code optimization, code reviews to improve the quality of Data Scientist’s work Create APIs for integrate data source into applications Create APIs for downstream usage of AI models Create visualisations to display views of AI models Keep track of model development iterations with a versioning control system  Automate software testing: unit test, branch test, integration test and security test  Monitor AI model releases, branches for different issues and user stories "," Master’s Degree in software Engineering, Computer Science or related fields with minimum 5 years software engineering work experience on enterprise products Experience with multi-tier software application development with best software engineering practices Familiar with tools such as Anaconda, Jupyter, Eclipse, R Studio, Jira, Git, SVN, Jenkins, etc Demonstrated proficiency in Python (Pandas, SciPy, NumPy, PySpark, etc), Scala, R, Java, Java Script, SQL, Shell Script  Experience with big data stack (Hadoop, Spark, Kafka, etc), and structured (SQL) and unstructured databases (Graph Database, NoSQL) Experience with virtual computing (virtual machine and Docker) for creation of easily transportable and self-contained environments Experience with converting AI models and integrating them into production Experience with code reviews, building interfaces, and deployment systems Demonstrated strong interests in learning about AI through own initiatives "
149,78285fb98a68ca067591320823a45c84,https://www.mycareersfuture.sg/job/big-data-architect-open-text-78285fb98a68ca067591320823a45c84,Big Data Architect,Permanent,OPEN TEXT (ASIA) PTE. LTD.,"CAPITAGREEN, 138 MARKET STREET 048946",Executive,Information Technology,12000,16000,Monthly,09 Jan 2019,0,0,0,1,"The opportunity: OpenText is currently seeking a Big Data Architect for its Analytics practice. The Big Data Architect would lead the design and execution of solutions for many of the most high-profile and technologically-advanced and complex organizations globally targeting a variety of use cases across data engineering, data science, data governance, and visualizations involving batch & real-time advanced analytics and reporting solutions.  You are great at:  Design of highly-scalable, reliable, and performant pipelines to consume, integrate and analyze large volumes of complex data using a variety of best-in-class proprietary and open-source platforms and tools Demonstration of client and solution leadership through strong communication skills to recommend actionable, data-driven insights Management of technical, project, and organizational complexity, with a proven ability to simplify tough problems, track many moving parts across functional teams and business domains, and influence strategic direction Work with enterprise architects, product architects, product owners, data scientists and engineers for big data and data science project deployments Create product architecture roadmap that maintains the integrity of our deployed solutions and satisfies the business need to fast value delivery Engage with all teams in a collaborative environment Architect, design, deliver, test, and troubleshoot complex data implementations Work with solution architects to improve data strategy, quality and governance  ","What it takes:  5+ years’ of experience in Big Data, data science, machine learning environment 10+ years’ experience in Database Administration, Design and Development 2-5 years’ experience in Data warehouse/mart experience leveraging Hadoop 5+ years consulting experience Cloud - private/hybrid/public, Big Data (Spark, Cloudera, HortonWorks) ecosystems Experience in designing big data lake/warehouse for data integration from enterprise wide applications/systems Experience with various ingestion patterns for large data sets Experience with Open Source and NoSQL technologies (e.g. MongoDB, Redis) at an Enterprise level Lambda architecture for ingestion including real-time streaming technologies (Kafka, Storm, Spark Streaming)"
150,f33ad2295413c46e5c828624e30deafb,https://www.mycareersfuture.sg/job/vp-machine-learning-lead-group-legal-compliance-secretariat-dbs-bank-f33ad2295413c46e5c828624e30deafb,"VP, Machine Learning Lead, Group Legal, Compliance & Secretariat (180004ZV)","Permanent, Full Time",DBS BANK LTD.,,Manager,Banking and Finance,10400,18700,Monthly,09 Jan 2019,0,0,0,1,"Business Function  Group Legal, Compliance & Secretariat ensures that the bank's interests are protected by zealously guarding and enhancing its reputation and capital. We also work to maintain a good standing with all our regulators, customers, and business partners. Because we believe that at the heart of business banking is to uphold the values of trust and integrity for all our stakeholders.  Responsibilities   Develop, manage and deliver the relevant analytic models and solutions as part of the Analytics and Innovation function at LCS.  Manage a team of data science professionals responsible for developing and supporting in-house or vendor solutions.  Posses good technical competency to perform advanced analytics and data science with programming tools (such as Python, R, SAS), experience performing analysis with large datasets as well as implementing supervised and unsupervised learning algorithms.  Possess the ability to condense analysis into actionable insights to inform decision making, develop strategy and standards for enhancing business performance and operations at LCS.  Provide effective technical and career development guidance to junior data scientists.  Drive and support the engagement with key stakeholders in matters relating to machine learning and analytics for LCS. Partner with relevant Big Data, AI/ML vendors to supplement the open-sourced and in-house solutions as deemed relevant. "," Bachelor/Master/PhD in Statistics, Mathematics or Computer Science.  At least 6 years of relevant experience in the space of data science, data engineering and machine learning.  Good experience in managing analytics teams across technology/business functions.  Ability to drive a culture of learning and development as well as data-driven spirit across the division. Good track record developing innovative solutions to business challenges. "
151,9118a016626ca486de65fcd3798b435d,https://www.mycareersfuture.sg/job/business-analyst-fixed-income-equities-bluechip-platforms-asia-9118a016626ca486de65fcd3798b435d,"IT Business Analyst - Fixed Income, Equities",Full Time,BLUECHIP PLATFORMS ASIA PTE. LTD.,,Senior Executive,"Banking and Finance, Information Technology",,,,09 Jan 2019,0,0,0,0,"Our client is a leading Investment Management firm who is currently going through a major transformation project. Due to expansion, they are looking to hire a Technical Business Analyst to join their high-performing team.   Job Responsibilities As an IT Business Analyst, you will play a key role in Public Equities/Fixed Income/ External Managers domain to build and support systems across the entire trade lifecycle to achieve world-class operational excellence and execution.   Requirements/Qualifications  Bachelor's Degree in Information Technology, Computer Science or equivalent.  3+ years' experience as an IT Business Analyst from Financial Services/Banking  Programming experience in object-oriented languages.  Working proficiency in SQL and Stored Procedures (MSSQL or Oracle).  Relevant experience in data science preferred ",**Apply here** https://www.bluechipcareers-asia.com/jobDetails/4584/it-business-analyst-fixed-income-equities For more Banking and Finance Jobs visit us at: https://www.bluechipcareers-asia.com
152,601b60bb0e0a370bf37885c3c0e72b97,https://www.mycareersfuture.sg/job/vp-data-analytics-scale-up-program-manager-dbs-transformation-group-to-dbs-bank-601b60bb0e0a370bf37885c3c0e72b97,"VP, Data and Analytics Scale-Up Program Manager, DBS Transformation Group, T&O (1900004Y)",Full Time,DBS BANK LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Senior Management,Information Technology,10400,18700,Monthly,09 Jan 2019,0,0,0,0,"Business Function     Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.   Responsibilities     Drive Data & Analytics scaling up program to build enterprise-wide analytics capability  Build Data & Analytics practice through a comprehensive, differentiated and pragmatic functional curriculum for accelerated data skills and capability building  Design and launch a new program for building Data Science capability by attracting and training fresh graduate talent from Universities & academic institutions   Partner with BU/SU stakeholders to define career architecture and growth path in the data stream to fulfil existing & future talent needs from within DBS Actively curate and  nurture communities of practice to create a strong set of data evangelists across the enterprise  Embed data-driven culture through creative, contextual & effective communication Drive DataFirst team engagement through various interventions like collaboration events, rewards and recognition programs "," Minimum 10 years of experience in curriculum management, career planning and development Proven working experience in building capability through talent management program  People oriented and results driven  Strong management, interpersonal and communication skills Experience in data and analytics related field is an added advantage "
153,0b7407938b24028bad5bf810f9c1238a,https://www.mycareersfuture.sg/job/vp-senior-data-scientist-regional-consumer-banking-operations-technology-operations-dbs-bank-0b7407938b24028bad5bf810f9c1238a,"VP, Senior Data Scientist, Regional Consumer Banking Operations, Technology & Operations (18000449)","Permanent, Full Time",DBS BANK LTD.,,"Middle Management, Manager",Banking and Finance,10400,18700,Monthly,09 Jan 2019,0,0,0,1,"Business Function   Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.   Responsibilities  Development and solutioning of real time predictive analytics to derive actionable insights to intervene positively into the customer’s digital journey Perform full life-cycle of Data Scientist / Analyst activities, including conceptualization to operationalization Primary focus will be in applying data science to solve business problems; doing statistical analysis, building high-quality prediction systems, and use deep learning techniques Able to understand and solve the business problem by translating into a data model and building insights into an actionable outcome Collaborate with cross-functional business teams to deliver high-impact insights using analytics across a variety of customer servicing areas Research, design, implement and validate models / algorithms to analyse diverse sources of data to achieve targeted outcomes Carry out customer behaviour analytics and deliver actionable insights in real time; through behaviour segmentation, predictive modelling, lifetime value modelling, churn prevention, statistical simulations and what if scenarios Stay on top of current industry trends on machine learning/AI "," You are: Curious and have a strong appetite for intellectual challenges. Able to pick up new methods and techniques quickly and apply towards solving a problem at hand You excel at making complex concepts simple and easy to understand by those around you. You’re driven to show the world the power of applied analytics Passionate about asking and answering questions in large datasets, and you can communicate that passion to product managers and engineers Attracted to a fast paced, hypothesis and test driven, collaborative and iterative engineering environment Driven, strategically focused, self-starter and organized with strong attention to detail A good team player with excellent communication skills  You have:  A university degree or higher in applied statistics/ data science/ Computing or related quantitative discipline, with a strong background in statistical concepts Proven track record of big data analytics and delivering impact to the business Deep and practical understanding on implementing high performance, well-behaved analytics applications; data ingestion, feature engineering, model selection, training, validating and deployment A deep understanding of statistical and predictive modelling concepts, machine-learning, deep learning models and NLP Excellent hands-on experience in  	 Python, Pyspark, Spark SQL/mysql  Hadoop eco-system (Hive, HDFS, Pig etc.) End to end data science workflow, starting from data extraction, wrangling, modelling and deployment in production environment    Familiarity with Linux based operating system Familiarity with data engineering pipelines Knowledge of software development life cycle preferred Experience creating real time and rich data visualizations that involves large datasets Experience manipulating structured and unstructured data sources for analysis "
154,c98079b6cb6790d93323dfa66296d67b,https://www.mycareersfuture.sg/job/data-science-ai-programme-manager-government-technology-agency-c98079b6cb6790d93323dfa66296d67b,Data Science & AI Programme Manager,Full Time,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,8000,Monthly,08 Jan 2019,0,0,0,0,"As a Programme Manager in GovTech’s Data Science & Artificial Intelligence Division, you will drive innovative initiatives that build analytics capabilities across the Whole-of-Government. You will use levers such as apprenticeship programmes, get industry players to contribute resources to the capability development efforts, and put in place bulk tender procurement for government agencies to tap on for their analytics needs. You are a decisive and driven individual who takes a proactive approach to running programmes and managing projects to meet overall objectives and targets of the organisation. Success in the role will be demonstrated by your ability to effectively deal with dynamic situations while keeping to achieve impactful outcomes that are aligned to the overall strategy of levelling up Data Science capabilities across the Whole-of-Government. What to Expect:   Drive multiple projects concurrently with the overall aim to improve capabilities of public officers across the Whole-of-Government in Data Science Develop a strategic sense of key organisations, software and hardware tools, methodologies and best practices in the Data Science & AI landscape Forge strong partnerships with such key industry players to gain support and involvement in capability development efforts Collaborate with organisations and invite luminaries to engage the Data Science & AI community of public officers through training workshops, sharing sessions, and masterclasses on Data Science-related skills Strategize, call and maintain the bulk tender options of Data Science & AI tools for the Whole-of-Government to tap on Manage all aspects of assigned projects independently, including—but not limited to—programme execution and budgeting  How to Succeed:   Degree or Diploma in Computer Science, Information Technology or the equivalent Minimum 3 years of relevant experience in IT consulting/project management or business analytics Experience working on large-scale projects from conception to implementation, handling all aspects from planning to budgeting, to stakeholder management Good understanding of procurement processes, especially in a government context Confident in public speaking to a diverse audience group from staff level to senior executives Strong understanding of the different elements of Data Science & AI, Big Data architecture, and the common tools and products associated with it Excellent English language skills, both oral and written Comfortable to work independently with minimum supervision Knowledge of Data Science tools, experience working in Data Science & AI domain, or prior experience in engaging public officers and government agencies on projects and collaborations is an added advantage ",None
155,3baa45f938b74a6660a619998e4a9852,https://www.mycareersfuture.sg/job/senior-data-analyst-streetsine-singapore-3baa45f938b74a6660a619998e4a9852,Senior Data Analyst,"Permanent, Full Time",STREETSINE SINGAPORE PTE. LTD.,"NEWS CENTRE, 1000 TOA PAYOH NORTH 318994","Professional, Executive",Information Technology,4000,8000,Monthly,08 Jan 2019,0,0,0,1,"We are currently looking for a Senior Data Analyst/Scientist to be part of our Business Intelligence (B.I.) team. Reporting to the Chief Data Officer (CDO), you will work closely with internal teams to:  Initiate studies and implement algorithms and methods to take business advantage of new information and data. Build, test and deploy machine learning models to cater to the market intelligence tools offered by the company Refine the performance and accuracy of existing data models based on feedback Assist in general database administration  Expected Competencies: A fast, adaptive yet meticulous professional having the following qualities: 1. Business Acumen and Communication Skills The candidate has demonstrated experience working with the relevant stakeholders to leverage data science to identify new business opportunities or remedy process inefficiencies. 2. Programming Skills The candidate should have prior experience translating proposed technical solutions using computational methods and data science, while at the same time understanding their respective strengths/weaknesses and potential business trade-offs. 3. Technical Competency The candidate writes code according to best practices while meeting security standards and is able to translate complex datasets into strategic insights.","Requirements:  Minimum 2 years of relevant work experience with a degree in any quantitative or computational discipline Proficiency in SQL and Python Excellent communication and interpersonal skills An additional advantage for candidates with proven skills in data visualization, machine learning, or image analytics An additional advantage for candidates with full project life cycle exposure i.e. data collection, aggregation, analysis, visualization, productionization, and monitoring of data Science solutions "
156,b7c0e2d50e0b78bef8e80534fc7c81e0,https://www.mycareersfuture.sg/job/avp-senior-associate-data-analyst-analytic-center-excellence-transformation-grp-dbs-bank-b7c0e2d50e0b78bef8e80534fc7c81e0,"AVP  /  Senior Associate, Data Analyst, Analytic Center of Excellence, Transformation Grp (180003G5)","Permanent, Full Time",DBS BANK LTD.,,"Manager, Senior Executive",Banking and Finance,5500,11000,Monthly,08 Jan 2019,0,0,0,1,"Job Purpose The data analyst will provide the big data analytic support to the Analytic Center of Excellence. He will partner with business and project leader to discover, analyse and process the data to develop analytic and data science solutions. This position allows those with strong data analytic skill and theoretical understanding of advanced analytic algorithms but lack of hands on experience in advanced analytics to learn and prepare for the role of data scientist - advanced analytics in the future. Responsibilities   Identify, profile, analyze and present the data discovery output for analytic projects Develop data ingestion pipeline and create the analytic data assets for analytic projects Work with data engineer to enhance the analytic data infrastructure and develop enterprise analytic data mart Perform data wrangling and feature engineering for machine learning Create helper functions to automate frequently encountered wrangling and feature engineering tasks "," Bachelors/Masters in Computer Science, Statistics, Mathematics and other highly quantitative fields such as bio-informatics Minimum 3 years of industry experience in data analytics working in a big data environment, preferably in financial services industry Highly proficient with data wrangling, analytic, transformation and feature engineering using programming tools such as Spark, Python or R. Excellent knowledge of SQL. Excellent visualization and communication skills. "
157,6ab4ba4202655abf13f033b752f440ba,https://www.mycareersfuture.sg/job/data-scientist-sephora-digital-sea-6ab4ba4202655abf13f033b752f440ba,Data Scientist,Permanent,SEPHORA DIGITAL SEA PTE. LTD.,"MARINA BAY FINANCIAL CENTRE, 8 MARINA BOULEVARD 018981",Fresh/entry level,Others,4500,6000,Monthly,08 Jan 2019,0,0,0,1,"Sephora, a division of LVMH – Moët Hennessy Louis Vuitton global luxury leader, is a global leader in beauty retailing. It successfully operates more than three thousand points of sale across Americas, Europe, Middle East and Asia. Its aim is to animate the most loved beauty community in the world. Sephora South East Asia is a high growth division of leading global beauty retailer, Sephora. Our teams run omni-channel retail businesses in Singapore, Thailand, Australia and Malaysia, franchise operations in India & Indonesia and we run ecommerce only businesses (the first in the world globally for Sephora!) in Philippines, Hong Kong and New Zealand. Our success is built on innovation, a unique product portfolio, market leading digital capability, and our exceptional people! With ambitious growth plans we are always looking for talented people who are passionate about building businesses and developing themselves and our customers'​experience. The Sephora Data team is expanding. As a critical business function, finding the right people to contribute to our high growth, fast changing environment is critical and challenging. The Data team’s mission is to create the necessary data pipelines between our applications and enable teams across the business to use the date for informed decision making.   To succeed in this team You’ll be super smart, passionate about innovation and trying new approaches, and you’ll be a skilled programmer with strong commercial instincts and passion for business success. We are looking for an exceptional Data Scientist to add to our team. To be successful in this role  You will need to be well-versed in all major Machine Learning paradigms (including but not restricted to processing of structured and unstructured data, bias/variance tradeoff, classic classification/regression algorithms, deep learning concepts, representation learning, explainability, unsupervised methods). You will need to be able to communicate clearly with our internal stakeholders, technical or non-technical, deeply understand business priorities and formalize them into challenges that can be tackled with engineering effort, whether it may involve ML or not. You will enjoy being an advocate for Data Science within Sephora SEA and the LVMH group. This involves being naturally prone to knowledge sharing and promotion of a healthy intellectual sharing environment. You will need to be able to work autonomously and have the initiative to come up with original solutions to meaningful challenges. You will need to be able to deal with several concurrent projects and prioritize according to objectives and business impact. "," You are a Python master and numerical libraries are of no mystery to you. Big bonus points if you are also familiar with either of Node.js/Go. You write SQL like you write English. Bonus points if BigQuery is not unknown to you. Expertise in a deep learning framework (tensorflow/pytorch) is a big plus. You have experience in getting your hands dirty and are conscious of the reality of datasets (in contrast to academic datasets). You are result-driven. Not only do you care about benchmarks scores, you are also keen on deploying your algorithms and make them available to use to your stakeholders. Experience with Cloud services (Google Cloud/AWS) for Machine Learning pipeline deployment is highly appreciated.    If taking on the responsibilities of one or more of these roles seems like your ideal job or you have other ideas of how you can contribute to our team, please apply! Your attitude, experience and passion is more important than specific experience. You might be a fresh grad, you might have 10 or more years experience. It’s all about the passion to excel that you will bring to our team & our business."
158,3e7a7f5af6e3cd3ed1f64bde48b3b587,https://www.mycareersfuture.sg/job/-scientist-industrial-iot-innovation-astar-research-entities-3e7a7f5af6e3cd3ed1f64bde48b3b587,"(IHPC) - Scientist , Industrial IOT Innovation","Contract, Full Time",A*STAR RESEARCH ENTITIES,,Non-executive,Sciences / Laboratory / R&D,4500,9000,Monthly,08 Jan 2019,1,0,0,0,"You will work in a highly passionate team on some relevant projects under the collaborations between A*STAR and industry partners from aerospace, maritime, transport, healthcare, agri-food domains. These projects are investigating how blockchain technologies could enable data/model sharing to unlock the power of AI data science, and establish trust among different participants in the ecosystem. The team is working closely with industry partners to develop some block-chain based proof-of-concept prototypes for data/model sharing, product/asset tracking, workflow/business visibility and automatic management. We are looking for talents like you to make blockchain stand on the floor: working on market-driven promising use cases, enabling interoperability to physical and software systems, fulfilling industry requirements in terms of security, privacy, performance scalability and cost efficiency. As a member of the team, you will conduct foundational research on blockchain technology, including incentive algorithm, censuses mechanism, secure smart contract, efficient distributed computing and resource provisioning. In addition, you will lead engineers and mentor students to develop, deploy, and evaluate blockchain-based prototypes in various application scenarios."," PhD in Computer Science/Engineering or equivalent with proven research expertise Fresh PhD graduate are welcome to apply Have conducted impactful research in one or more of the following areas: blockchain, IOT, parallel and distributed computing, data storage, security and privacy, and etc Good programing skills: multi-language (C++, C#, Java, Python, Go); network programming (TCP/IP Socket), parallel programming (multi-thread, OpenMP and MPI); Web-based interactive platform development Strong knowledge background on Public Key Infrastructure, K-anonymity, differential privacy, homomorphic encryption is preferable Candidates with hands-on experiences in computer architecture and network, Linux OS, virtualization platforms (e.g. Xen, KVM and Docker), distributed system and database are preferable  The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified."
159,5a91fb40f9fbddcaaefefe9d07cb1a95,https://www.mycareersfuture.sg/job/ihpc-research-engineer-industrial-iot-innovation-astar-research-entities-5a91fb40f9fbddcaaefefe9d07cb1a95,"IHPC - Research Engineer, Industrial IOT innovation","Contract, Full Time",A*STAR RESEARCH ENTITIES,,Non-executive,Sciences / Laboratory / R&D,2500,5000,Monthly,08 Jan 2019,1,0,0,0,"You will work in a highly passionate team on some relevant projects under the collaborations between A*STAR and industry partners from aerospace, maritime, transport, healthcare, agri-food domains. These projects are investigating how blockchain technologies could enable data/model sharing to unlock the power of AI data science, and establish trust among different participants in the ecosystem. The team is working closely with industry partners to develop some block-chain based proof-of-concept prototypes for data/model sharing, product/asset tracking, workflow/business visibility and automatic management. We are looking for talents like you to make blockchain stand on the floor: working on market-driven promising use cases, enabling interoperability to physical and software systems, fulfilling industry requirements in terms of security, privacy, performance scalability and cost efficiency. As a member of the team, you will develop, deploy and evaluate blockchain-based prototypes in various application scenarios. In addition, you will also conduct solid researches on blockchain technology with the guidance of scientists."," Master/Bachelor in Computer Science/Engineering or equivalent with proven research expertise Minimum 2 years of experience Excellent programing skills and professional software development experience: multi-language (C++, C#, Java, Python, Go); network programming (TCP/IP Socket), parallel programming (multi-thread, OpenMP and MPI); Web-based interactive platform development Hands-on experiences in computer architecture and network, Linux OS virtualization platforms (e.g. Xen, KVM and Docker), distributed system and database are preferable Knowledge on data security and privacy are preferable  The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified. "
160,ed97623737bc25d7ea5b863a97cb9fec,https://www.mycareersfuture.sg/job/senior-risk-consultant-linkedin-singapore-ed97623737bc25d7ea5b863a97cb9fec,Senior Risk Consultant,Permanent,LINKEDIN SINGAPORE PTE. LTD.,"SOUTH BEACH TOWER, 38 BEACH ROAD 189767",Professional,Risk Management,5000,10000,Monthly,08 Jan 2019,0,0,0,1,"LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. We are looking for a Senior Trust & Safety Content Analyst who will be responsible for processing and investigating terms of service, fraudulent and spam related violations. Report and reconciliation of disputes as well as minimizing risk and loss is essential in this position. The position is expected to complete inquiries in a timely and precise manner. Serving our more than 500 million members worldwide, the Trust & Safety team is the group tasked with keeping LinkedIn a professional and safe platform. Our team members are proactive, motivated, organized, and possess a global perspective - and able to work well in a fast paced, team-oriented environment. The analysts are directly responsible for making the internet safer, protecting free speech and defending our brand. They will have direct exposure to engineering, data science, policy and data analyst stakeholders and will need to help define and implement operational solutions to emerging threats. In addition, they will perform other key Analyst functions including driving improvements in the team's processes, technology and tools. Responsibilities:  Operations 	 Effectively identify problems and issues by performing relevant research using appropriate tools Resolve all issues in a timely manner related to spam, account takeover and terms of service violations Manage internal escalations received for fraud and all other disputes with written correspondence   Project Management 	 Work on Trust and Safety projects from conception to completion Follow project timeline and report on milestones Ensure effective communications during the project Identify gaps and issues and communicate timely with the management   Insights 	 Provide operational feedback to management regarding necessary changes, volume spikes, and member sentiment Provide tooling and product insights and propose product fixes and changes   Analysis 	 Analyze identity theft and misuse reports, identify trends that need to be addressed and communicate findings to the appropriate stakeholders Work closely with Analytics and perform deep dives into region/ global trends   Global Liaison 	 Act as a liaison between Global Risk Management team and local teams Act as contributing liaison for tooling and development with product team in different regions   ","Basic Qualifications:  5+ years of experience with content policy or anti-abuse operations  Preferred Qualifications:  Strong written and spoken communications skills in Mandarin Chinese Knowledge of the China market and its legal/political environment Knowledge of identity theft and industry risk trends. Demonstrated capacity for critical thinking and analysis with strong attention to detail Familiarity with Internet policy and regulatory environments. Passion for keeping our users safe while protecting free speech Well-developed sense of urgency and follow through. Excellent project manager and self-starter, with the ability to work independently and on multiple initiatives at the same time. Competency in Excel and SQL skills a plus Experience using Microsoft Office products including: Outlook, and PowerPoint with proficiency in Excel and Word. "
161,1bf95d32ba7a044b23363fed1d12abba,https://www.mycareersfuture.sg/job/assistant-manager-government-technology-agency-1bf95d32ba7a044b23363fed1d12abba,Assistant Manager (Events and Planning),Full Time,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Events / Promotions , Public / Civil Service",5000,8000,Monthly,08 Jan 2019,0,0,0,0,"As an Assistant Manager (Events and Planning) in GovTech’s Data Science & Artificial Intelligence Division, you will be responsible for the successful execution of various edifying events and initiatives such as training workshops, seminars, competitions, and meet-up sessions.  You are an organized individual with a great attention to detail that is needed to run an event smoothly. The role requires you to work independently to execute events of a smaller scale, and to collaborate with partners, stakeholders, and events companies to coordinate the agenda and logistics for larger-scale events. What to Expect:   Co-conceptualise with your team to deliver the schedule of Capability Development events Source for good vendors and partners that can help deliver the best experience for the events, while ensuring financial prudence and working within the constraints of government procurement rules Ensure logistics are smooth from the pre-event phase (e.g. bookings and invitations), to the event phase (e.g. time-keeping and F&B), to the post-event phase (e.g. feedback and recommendations) Manage and track the overall Capability Development efforts in the team through the use of spreadsheets and dashboards Assist the division on any other events and logistics matters  How to Succeed:   Degree or Diploma in Marketing, Mass Communications or a related field will be an added advantage Experience with the government procurement process will be an added advantage Experience in development and running of events, from conceptualisation to execution, to the post-event phase Resourceful and has a strong ability to function under pressure Excellent English language skills, both oral and written Comfortable to work independently with minimum supervision ",None
162,863283daf30fe9edb3d9c6959f2299f2,https://www.mycareersfuture.sg/job/data-science-consultant-backoffice-associates-asia-863283daf30fe9edb3d9c6959f2299f2,Data Science Consultant,Full Time,BACKOFFICE ASSOCIATES ASIA PTE. LTD.,78 SHENTON WAY 079120,Professional,Information Technology,7000,9000,Monthly,07 Jan 2019,0,0,0,0,"Primary Responsibilities:  Understand large data sets, build data models to address business problems Undertake data collection, pre-processing and analysis Build predictive models and machine learning algorithms  The role will involve analysis and extensive data crunching with good amount of hands on programming skills. This role requires following skills and experience:  Proven experience (5+Years) as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills  ","Candidate should possess good soft skills as mentioned below:  Should possess excellent problem solving and is able to work effectively in a less structured environment and manage time. Excellent verbal and written communication skills Work closely with onsite and offshore team members Willing to travel to the customers locations on need basis outside of Singapore  Qualification:  Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred "
163,32de68c45c9756377411d997a31402c9,https://www.mycareersfuture.sg/job/data-science-consultant-backoffice-associates-asia-32de68c45c9756377411d997a31402c9,Data Science Consultant,Full Time,BACKOFFICE ASSOCIATES ASIA PTE. LTD.,78 SHENTON WAY 079120,Professional,Information Technology,6000,8000,Monthly,07 Jan 2019,0,0,0,0,"Primary Responsibilities:  Understand large data sets, build data models to address business problems Undertake data collection, pre-processing and analysis Build predictive models and machine learning algorithms  The role will involve analysis and extensive data crunching with good amount of hands on programming skills. This role requires following skills and experience:  Proven experience (5+Years) as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills  ","Candidate should possess good soft skills as mentioned below:  Should possess excellent problem solving and is able to work effectively in a less structured environment and manage time. Excellent verbal and written communication skills Work closely with onsite and offshore team members Willing to travel to the customers locations on need basis outside of Singapore  Qualification:  Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred "
164,2215e8a8684aaa50c17489883ae473b0,https://www.mycareersfuture.sg/job/data-engineer-fixed-mobile-2215e8a8684aaa50c17489883ae473b0,Data Engineer,Permanent,FIXED & MOBILE PTE. LTD.,"ANSON HOUSE, 72 ANSON ROAD 079911",Non-executive,Information Technology,4000,7000,Monthly,07 Jan 2019,0,0,0,1,"TransferTo operates a leading global digital value services network offering safe, reliable and more accessible mobile value services for emerging markets. Our B2B cross-border network interconnects and provides mobile operators, money transfer operators, retailers, distributors, NGOs and corporates with unparalleled infrastructure and reach to offer solutions that better connect loved ones across borders. A career with TransferTo provides invaluable experience in an exciting and rapidly expanding market and an opportunity to be part of a truly global company with 7 offices worldwide and a workforce that includes over 50 different nationalities. The Data Science & Data Engineering department is focusing on the creation of new data sciences capabilities for the business by envisioning and executing strategies that will improve performance by enabling informed decision making. We are seeking an energetic and passionate data engineer to help build the robust foundations that will support current and future data-intensive computations across the company. As a Data Engineer, you will be working closely with the Infrastructure, Software development, Business Intelligence and Data Science teams. You will have the opportunity to shape our data stack, ensuring that our ever-flowing data is adequately collected, organized and made accessible for advanced analytics and beyond. Key Role Responsibilities  Build a reliable, scalable and efficient cloud-based data processing platform and applications Play a central role in delivering our next generation real-time, big data platform Conceive, develop, monitor and optimize reliable data pipelines that convert data into insights Be involved in whole data platform development process including infra, data ETL and service implementation  About Us TransferTo operates a leading global digital value services network offering safe, reliable and more accessible mobile value services for emerging markets. Our B2B cross-border network interconnects and provides mobile operators, money transfer operators, retailers, distributors, NGOs and corporates with unparalleled infrastructure and reach to offer solutions that better connect loved ones across borders. For more information, visitwww.transfer-to.com/digitalvalue","Essential Experience  More than 3 years of experience in data engineering Advanced knowledge of real-time data streams, ETL processes and how to clean, structure and manage sensitive data effectively Strong development skills in some of the following languages: R, Python, Hive, Pig, Mahout, Java, ... Working knowledge of big data concepts like Hadoop, Spark, MapReduce, and HDFS Deep understanding of both SQL and NoSQL data stores Familiar with data tools and services in Azure, AWS, and/or GCP eco-system is preferred Familiar with data management and visualization tools such as Tableau Knowledge of Amazon AWS services and their applications (RDS, Redshift, S3, EC2, ...) Knowledge in RESTful API development Knowledge in CI tools like Jenkins Knowledge in QA processes and automation Coursework in machine learning, data science, data mining, big data, and/or statistical inference is a plus Comfortable with GIT version control Excellent written and verbal communication skills in English A DevOps attitude - you build it, run it & maintain it The ability to execute independently Enjoy learning and adopting new technologies to push the team forward Thrilled to find creative solutions for the challenges you face Finally, wanting to have responsibilities that make a significant contribution and impact on the company "
165,5388df9ff18bdbfcd7f9197f4ba65411,https://www.mycareersfuture.sg/job/junior-data-scientist-fixed-mobile-5388df9ff18bdbfcd7f9197f4ba65411,Junior Data Scientist,Permanent,FIXED & MOBILE PTE. LTD.,"ANSON HOUSE, 72 ANSON ROAD 079911",Non-executive,Information Technology,3000,6000,Monthly,07 Jan 2019,0,0,0,1,"The Data Science & Data Engineering department focuses on the creation of new data science capabilities for the business. It envisions and executes strategies to improve performance by facilitating informed decision making. We are looking for a highly driven and self-motivated individual who is truly excited about creating meaningful impact from data. In this role you will combine a startup mindset with the scale of an industry leader, providing you with hands-on exposure to how data could be used for making key organization decisions. The role is based in the business headquarters in Singapore but is a global role with stakeholders based in 5 continents. Roles and Responsibilities  Drive data-based decision making through the creation of dashboards conveying insight Tailor advanced analytical solutions to complex business problems Support all department heads with their analytical needs, to help the business make data driven decisions by extracting, preparing, analyzing and preparing presentations Work across diverse departments – Sales, Technology, Finance, Marketing etc.  About Us TransferTo operates a leading global digital value services network offering safe, reliable and more accessible mobile value services for emerging markets. Our B2B cross-border network interconnects and provides mobile operators, money transfer operators, retailers, distributors, NGOs and corporates with unparalleled infrastructure and reach to offer solutions that better connect loved ones across borders. For more information, visitwww.transfer-to.com/digitalvalue","Desired Skills  Outstanding degree in engineering, information systems, economics or a quantitative field Naturally curious, solution oriented and thrives on quantitative analysis Hands-on technical expertise & a broad business-oriented understanding 1-2 years of experience in data mining Strong grasp of statistics and aptitude for number crunching and data modeling The ability to apply machine learning techniques in a business context An understanding of experimental designs, A/B testing and result interpretation Good SQL knowledge and fluency in R or Python are necessary Excellent data visualization skills Experience with Tableau or other BI platforms is a plus Willingness to continuously learn new tools, models and techniques "
166,199637f3085b8912a1ec1baf8fcf674d,https://www.mycareersfuture.sg/job/quantitative-developer-four-elements-capital-199637f3085b8912a1ec1baf8fcf674d,Quantitative Developer,"Permanent, Full Time, Internship",FOUR ELEMENTS CAPITAL PTE. LTD.,"SIF BUILDING, 96 ROBINSON ROAD 068899",Senior Management,"Banking and Finance, Information Technology",5000,6000,Monthly,07 Jan 2019,0,1,0,1,"Location: Paris or Singapore Job Type: Permanent/6-month internship (with potential conversion to permanent), full-time About the project - Alphien: Founded in 2018, Alphien (SAS au capital de EUR 1,750,000 RCS Creteil 837 508 902) bridges the gap between asset managers looking for robust quantitative exposure, and bright minds with knowledge and experience to design exciting indexes. Leveraging on the combined decades of our management team’s experience, Alphien is disrupting the field of data science applied to finance. We have joined the incubator Paristech Entrepreneurs in Paris and also have operations in Singapore. We offer you to join a dynamic team in a growing fintech start-up. Your mission   Learn, enhance and develop the proprietary quantitative R-based library of the platform.   Develop models and evaluation methods in order to assess the quality of the research done on the platform by its users.   Data science research in order to create alternative data to be further available for the research community.   Develop tools with the back-end IT developers to facilitate quantitative research on the platform.   What we offer:    Join a young and dynamic team in a disruptive sector   Participate in different projects related to our platform development   Be part of an inspiring job environment in a growing fintech startup  ","  Degree in Mathematics, Statistics, Computer Science or related highly quantitative fields   Proficient in R programming   Strong software engineering skills and adaptability to new technologies   Interest in financial markets; knowledge in option theory is a plus   Attention to detail and strong personal organizational skills   Highly motivated, self driven with an entrepreneurial outlook  "
167,a210f54b96b45f4453b03571d981874c,https://www.mycareersfuture.sg/job/research-fellow-national-university-singapore-a210f54b96b45f4453b03571d981874c,Research Fellow,Full Time,NATIONAL UNIVERSITY OF SINGAPORE,21 LOWER KENT RIDGE ROAD 119077,Professional,Sciences / Laboratory / R&D,6000,7000,Monthly,07 Jan 2019,0,0,0,0,"Job Description The National University of Singapore invites applications for the position of Research Fellow in the Singapore Data Science Consortium (SDSC). The consortium, funded by NRF, is hosted at the School of Computing (SoC), NUS. SDSC seeks to develop novel computational solutions to a wide range of industry-driven applications, building large-scale experimental systems and improving the well-being of society. The Research Fellow is expected to design solutions and to provide analytical insights that meet industry needs. The job responsibilities include:  Create processes within companies and/or build machine-learning tools that will fetch data from multiple sources. Interpret and analyse data to draw valuable insights that will help companies address business challenges and enhance performance. Communicate important information and trends that highlight problems or opportunities. Work with the Solutions Architect and research team to devise possible solutions and implement new statistical methodologies as needed. ","Job Requirements  A PhD degree in statistics, mathematics, computer science or a related discipline Relevant working experience preferred A team player with excellent communication and problem solving skills, and a deep understanding of machine learning techniques and algorithms A dynamic individual with innovative, critical and analytical thinking  Interested applicants can send your CV to sdsc@nus.edu.sg. Only shortlisted candidates will be notified."
168,71d0b1c7f9946d2894cd1477fa4d0ffd,https://www.mycareersfuture.sg/job/2-research-assistant-engineer-national-university-singapore-71d0b1c7f9946d2894cd1477fa4d0ffd,2.	Research Assistant / Engineer,Unknown,NATIONAL UNIVERSITY OF SINGAPORE,,Unknown,,0,0,Monthly,None,0,0,0,0,None,None
169,043917ee6e36e1118a98ed45f92f10e6,https://www.mycareersfuture.sg/job/data-science-analyst-ent-vision-043917ee6e36e1118a98ed45f92f10e6,Data Science Analyst,Permanent,ENT-VISION PTE. LTD.,,Executive,Information Technology,4000,4500,Monthly,05 Jan 2019,0,0,0,1,"• Cleanse, prepare and perform Exploratory Data Analysis on enterprise and IOT data • Perform advanced analytics and statistical modelling on structured and unstructured data • Feature engineering, build ML data models and Heuristic algorithms for prescriptive analytics • Integrate ML data models and Heuristic algorithms into web and server application • Translate business requirements to reporting dashboard and analytics","• Degree in Mathematics, Statistics or a related discipline • 3 year working experience in statistical modelling, data visualisation and machine learning • Completed several work-related ML projects using R, Python, Scikit and Microsoft .Net • Extensive experience in MS SQL database design, queries, views and stored procedures • Highly proficient in data visualisation tools and good analytical skills • Experience with REST-Based Web Service using JSON, XML • Good communications skills, project planning and time management are pre-requisites"
170,2cc1f1530ed38694bc7ffc155202fc2d,https://www.mycareersfuture.sg/job/senior-software-engineer-ent-vision-2cc1f1530ed38694bc7ffc155202fc2d,senior software engineer,Permanent,ENT-VISION PTE. LTD.,,Senior Executive,Information Technology,5000,6000,,05 Jan 2019,0,0,0,1,"·   Lead a team of developers and data science analyst ·   Feature engineering for ML models and development of decision optimisation algorithms ·   Design and build secured web API data services ·   System analysis and project management ·   Release planning and manage solution deployment  ·   Evaluate and recommend emerging technologies ·   Participate in ideation, conceptualisation, solution architecture and product road mapping","·   Degree in Computer Science or a related discipline ·   5-7 year development experience using Microsoft .Net and AI/ML projects using Python ·   Extensive experience in data security, creation of secured Web Service with JSON, XML and oData ·   Deep OOP skills including entity framework, MS SQL database design and performance tuning ·   Proficiency in HTML, CSS, JavaScript, Ajax, jQuery, AngularJS, ReactJS ·   Excellent leadership, project management and problem solving skills are pre-requisites"
171,2f16e71ebeed28290cf84cc2dc398bf6,https://www.mycareersfuture.sg/job/assistant-director-ministry-defence-2f16e71ebeed28290cf84cc2dc398bf6,Assistant Director (Resource Planning & Allocation),Permanent,Ministry of Defence,"MINDEF BUILDING, 303 GOMBAK DRIVE 669645",Unknown,"Human Resources , Public / Civil Service",,,Monthly,04 Jan 2019,0,0,0,1,"You provide support for manpower plans and policy development by monitoring and analysing internal and external human resource (HR) trends affecting the organisation. This includes preparing various manpower reports that include quantitative and qualitative analyses of manpower trends, and conducting manpower modelling and projection studies to facilitate decision-making on resource allocation for all populations in the organisation. You also ensure that the organisation’s manpower planning capabilities are effective and up-to-date with latest developments in data analytics. Your challenge lies in explaining complex data and technical issues in an easy-to-understand way to users and senior management, as well as keeping up-to-date with the latest technology and tools in the market for data science and analytics, and shifts in the information and visualisation landscape. You must have a tertiary qualification, preferably in data analytics, operational research, computer science, mathematics or statistics, with at least 6 to 8 years’ work experience in data science, analytics or manpower planning roles. Possession of strong analytical and problem-solving skills, as well as the ability to think quickly and innovatively is essential. Having a postgraduate qualification in a related field, or knowledge in data visualisation software such as Power BI or QlikSense, is advantageous. To apply, please visit our website at https://www.mindef.gov.sg/dxo/careers-details.html#/tab2. Only applications submitted through our website will be processed. Only shortlisted candidates will be notified.",None
172,a8366ea0122ebe5fc1fde22d0ae6703b,https://www.mycareersfuture.sg/job/senior-data-scientist-resmed-asia-a8366ea0122ebe5fc1fde22d0ae6703b,Senior Data Scientist,"Permanent, Full Time",RESMED ASIA PTE. LTD.,8 LOYANG CRESCENT 509016,Senior Executive,"Engineering, Sciences / Laboratory / R&D",10000,14000,Monthly,04 Jan 2019,0,0,0,1,"Senior Data Scientist The Senior Data Scientist will undertake applied research and development in the areas of data science and biomedical informatics, using the latest technologies in machine learning and distributed computing. The platform and algorithms developed may be used in a range of diagnostic and therapeutic applications, such as sleep disorder breathing, chronic obstructive pulmonary disorder, and other respiratory disorders, as well as co-morbidities such as congestive heart failure and diabetes and chronic disease management Let’s talk about this position: The Advanced Analytics team is headquartered in the United States and is focused on developing analytics solutions that will enable a data-driven approach to addressing business questions. This role will be a part of the Advanced Analytics team in Singapore, and collaborate with the global Advanced Analytics team in support of achieving global and regional business goals. Responsibilities and Accountabilities:  Research, customization, and development of statistical and machine learning algorithms to meet complex project requirements; tasks include defining hypotheses, executing necessary tests and experiments, evaluating, tuning and optimizing algorithms and methods to specific situations. Analysis of big data for data-driven solution validation, evaluation and technology innovation.  Optimize data analysis processes and systems for better efficiency and maintainability. Leading sub-functional and small project teams. Mentoring and training more junior team members and serving as a best-practice resource for statistics and machine learning. Writing of documents that clearly explain how algorithms should be implemented, verified and validated. Writing documents for use in the preparation of intellectual property and technical publications. Monitoring the literature of interest and industrial development trends, broadly in the areas of data analysis and machine learning. Understanding regulatory requirements, such as those mandated by the FDA. Working within the ResMed Quality system, standards and maintaining training requirements. Being ever mindful of the requirements of the wider market and ResMed stakeholders. Promoting safe working environment within OH&S guidelines ","Let’s talk about you: To really get us excited, you will have a degree in Computer Science, Engineering, Statistics, Applied Mathmatics, or related fields with minimal 6 years’ industry or academic experience in data science. Post-graduaded research experience (Masters or PhD) in a field encompassing Data Science, Applied Statistics, or Biomedical Informatics and relevant industry experience would be favourably considered. For this role, you should have skills and knowledge such as:  Expert in statistical analysis methods, including analysis of variance, regression, time series analysis, survival analysis, etc. Extensive knowledge in machine learning fundamental theories and data mining technologies. Leadership and hands on experience with development of data analytics systems, including data exploration/crawling, feature engineering, model building, performance evaluation, and online deployment of models. Proficient with server side programming in Python/Java. Hands on experience in handling large and distributed datasets on Hadoop, Spark, Hive, Pig or Storm, etc. Strong database skills and experience, including experience with SQL programming. Knowledge in big data technologies including cloud computing/distributed computing, data fusion, and data visualization. Experience in R programming. A background in or exposure to biomedical engineering, medical science or physiology. Good technical writing and presentation skills. Optimisation of algorithm complexity vs. accuracy vs. implementation cost. Implementing robust software for use in research programs with a minimum of review and other formal process  OK, so what next?  At ResMed, we believe in supporting, inspiring and developing our people. So we recruit the best and then give them the tools to make a real difference in the lives of our patients. We believe that fresh thinking inspires innovation – and our shared success. If this sounds like a place you would like to work and you have the drive to transform and enhance the lives of millions of patients through your contribution at work, then today is your day! Apply now!"
173,2f0c26cd85b0964482421f8d9f7ec3bd,https://www.mycareersfuture.sg/job/data-scientist-resmed-asia-2f0c26cd85b0964482421f8d9f7ec3bd,Data Scientist,"Permanent, Full Time",RESMED ASIA PTE. LTD.,8 LOYANG CRESCENT 509016,Executive,"Engineering, Information Technology, Sciences / Laboratory / R&D",5000,7000,Monthly,04 Jan 2019,0,0,0,1,"Data Scientist We are currently seeking applications from an experienced Data Scientist to join our Healthcare Informatics (HI) team based in our Connexis office Singapore.  At ResMed we focus on capability and passion. With your in-depth knowledge and understanding in applied research and development in the areas of data science biomedical informatics, you will use the latest technologies in machine learning and distributed computing. The platform and algorithms developed may be used in a range of diagnostic and therapeutic applications, such as sleep disorder breathing, chronic obstructive pulmonary disorder, and other respiratory disorders, as well as co-morbidities such as congestive heart failure and diabetes and chronic disease management. The candidate we are seeking will specialise in the following areas and be capable of the following responsibilities: • Research, customization, and development of statistical and machine learning algorithms to meet project requirements; tasks include defining hypotheses, executing necessary tests and experiments, evaluating, tuning and optimizing algorithms and methods to specific situations. • Analysis of big data for data-driven solution validation, evaluation and technology innovation.   • Optimize data analysis processes and systems for better efficiency and maintainability.   • Writing of documents that clearly explain how algorithms should be implemented, verified and validated. • Writing documents for use in the preparation of intellectual property and technical publications. • Monitoring the literature of interest and industrial development trends, broadly in the areas of data analysis and machine learning. • Understanding regulatory requirements, such as those mandated by the FDA. • Working within the ResMed Quality system, standards and maintaining training requirements.","Let’s talk about you: To really get us excited, you will have extensive working knowledge of machine learning fundamental theories and data mining technologies with proficiency in statistical analysis methods, including analysis of variance, regression, time series analysis, survival analysis, etc. In addition, you will have strong database skills and experience, including experience with SQL programming. You will also have a Post-graduate research experience (Masters or PhD) Degree in a field encompassing Data Science, Applied Statistics, or Biomedical Informatics or related discipline with experience in relevant data science industry. Experience in a medical device company would also be advantageous. Let’s talk about the team: Big ideas and big goals reign at ResMed Singapore. Within this growing HI team, you’ll thrive in an environment filled with self-starters who possess the drive to make a difference. You’ll be encouraged within a people-focused culture that motivates and recognises talent, so that together, we can produce the best products and results. OK, so what next? At ResMed, we believe in supporting, inspiring and developing our people. So we recruit the best and then give them the tools to make a real difference in the lives of our patients. We believe that fresh thinking inspires innovation – and our shared success. If this sounds like a place you would like to work and you have the drive to transform and enhance the lives of millions of patients through your contribution at work, then today is your day! Apply now!"
174,82027129804f7711d1c80d425890149e,https://www.mycareersfuture.sg/job/research-associate-nanyang-technological-university-82027129804f7711d1c80d425890149e,Research Associate,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798","Professional, Non-executive","Engineering, Sciences / Laboratory / R&D",4000,5000,,04 Jan 2019,1,0,0,0,"The qualified candidate is required to:  Monitor photovoltaic system energy yield and study the results Monitor Photovoltaic system hardware installation and troubleshooting Technical skill on power management unit (PMU) and maximum power point tracking (MPPT) Monitor street lighting power management and control systems and study the results Monitoring energy usage on AC and hybrid AC/DC microgrid and study the results Knowledge of energy/utility management software Implement control algorithms in renewable energy systems Carry out research work with team members in CETRAN facility Provide improvement recommendations on for optimizing existing control strategies Identify and establish working relationships with all necessary engineering, construction and procurement firms (with focus on energy conservation and generation resources) required to execute energy recommendations Prepare legible, clearly researched, high quality research reports for study Keep up to date with changes in energy regulation Keep up to date with industry standard best practice    Preference will be given to candidate who is able to:  Design connected objects and IoT ecosystem applied to street lighting network Adapt machine learning algorithm based on historical data to build up predication/regression models, analyze smart energy devices and compatibility Predict results on findings i.e. Energy forecast Design to be built on data science models ","TECHNICAL/PROFESSIONAL  MSc / equivalent master’s degree in Electrical engineering (Renewable energy, Smart grids, Power system modelling, Wireless sensors) Preferred experience of around two years. Fresh graduates with good profile will be considered    GENERAL  Ability to read, analyse, and interpret plans, specifications, contract documents, control drawings, service bulletins, technical procedure manuals, equipment specifications, and governmental regulations Ability to write reports, business correspondence, and procedure manuals Ability to effectively present information and respond to questions from top management, customers, and service personnel Ability to define problems, collect data, establish facts, and draw valid conclusions Report for external and internal communications Accurately assess and provide feedback on project engineering risk Provides technical analysis/review for energy projects; providing project risk assessment    TECHNOLOGICAL  Basic knowledge of Microsoft Office Suite  Energy management softwares    ADDITIONAL ADVANTAGEOUS SKILLS  Knowledge in programming and data analytics Knowledge of wireless communication devices Knowledge of smart lighting systems    Application Procedure Interested applicants can submit their resumes to Mr Yann Grynberg at ygrynberg@ntu.edu.sg "
175,75b01ff1374e9fb7e630b737e841fc81,https://www.mycareersfuture.sg/job/big-data-solution-architect-75b01ff1374e9fb7e630b737e841fc81,Big Data Solution Architect,"Permanent, Full Time",Company Undisclosed,,Professional,Information Technology,,,Monthly,04 Jan 2019,0,0,0,1,"In this role, we are looking for Big Data Architect to drive high priority customer initiatives, leveraging Azure data services to solve the biggest and most complex data challenges faced by our enterprise customers. This is a technical role, accountable for the end-to-end deployment and usage for Azure data services. You will own the Azure Data Services technical architecture: data architecture design sessions, implementation projects and/or Proofs of Concepts. You will be helping customers realise results in a digital world through business technology solutions and managed services that combine insight, innovation and expertise focused on Microsoft® technologies. The individual will be expected to:  Architect scalable data processing and analytics solutions, including technical feasibility for Big Data storage, processing and consumption e.g., development of enterprise Data Lake strategy, heterogeneous data management, Polyglot Persistence, decision support over Data Lake. Work with delivery teams to design Azure data services solutions in support of the over-arching analytics services solution, including SQL Database, Document DB, SQL Data Warehouse, HD Insight, Azure Machine Learning, Stream Analytics, Data Factory, Event Hubs and Notification Hubs You will design, coordinate and execute pilots, prototypes or proof of concepts, provide validation on specific scenarios. Report on progress of business objectives; Ensure plan execution, Document and share technical best practices / insights with Engineering teams, data scientists, IT Infrastructure , application delivery team members and the solution architect community Know how ML implementations should be reflected into the greater enterprise’s architecture. Understand the different data science and projection scenarios and their effect on the overall enterprise’s IT architecture and help decide the best compromise. Have deep subject matter expertise and demonstrable hands on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services; including Data Factory, Data Warehouse, Data Lake, Data Lake Analytics, Data Catalog, U-SQL, User Access Management 	 Operationalizing end-to-end cloud analytics solutions. Design data pipelines to support machine-learning solutions Design big data real-time processing solutions Designing big data batch processing and interactive solutions   ","Key Requirements:  Masters / Degree in Engineering, Mathematics, Data Science, Computer Science or any other related field At least 5 years’ experience managing medium to large scale projects involving structured and unstructured data and architecting high performing data network solutions Experience working in big data technologies in the Microsoft Azure cloud like Azure Data Lake Store, Azure Data Lake Analytics, Azure Data Warehouse, Azure Stream Analytics, Azure Event Hub, Azure IoT Hub, and Azure Data Factory Knowledge and hands-on experience with some of the latest data technologies and frameworks such as Hadoop, MapReduce, Pig, Hive, Spark, Storm, Oozie, Sqoop, and Kafka, HBase, Flume, Zookeeper, MongoDB, NoSQL and Cassandra Knowledge of programming languages and latest technologies such as  C#.NET, Elastic, all types of JavaScript frameworks, HTML5, CSS, RESTful Services,  Spark, Python, Linux, Hive, and Kafk Possess deep understanding of data, RDBMS, network, cloud and hardware platforms including mainframes, distributed platforms, desktops, and mobile devices as well as a deep understanding of databases, data in storage and data in motion Good understanding of various historian systems related to the power and utility sector Working experience in customer facing roles and success leading deep technical architecture and design discussions with senior executives "
176,3f9ea2df5815a365d8f70bbf035729d3,https://www.mycareersfuture.sg/job/product-manager-tabsquare-3f9ea2df5815a365d8f70bbf035729d3,Product Manager,Full Time,TABSQUARE PTE. LTD.,,Middle Management,Information Technology,6500,8500,Monthly,03 Jan 2019,0,0,0,0,"Tabsquare is looking for a Product Manager to join the Data Science team for driving the roadmap for various development initiatives. You will help build the next generation of products that will help Tabsquare understand, manage, and optimize the experience of its customers. To do this, you will work with cross-functional teams including Product, Sales and Marketing teams. You will be responsible for formalizing business requirements for data scientists, managing the workflow of data science models, and help visualize data science teams’ results for a business audience. What you will do : ·         Work with internal and external customers to drive the roadmap and prioritization of requirements in the data science domain ·         Be able to identify customers' needs and help translate them into requirements that can be solved using AI/ML ·         Coordinate data collection and cleansing activities in various environments. ·         Collaborate with data science team for feature generation, model building, model validation and delivering results. ·         Manage and control the workflow of data science alpha products. ·         Bring up new project initiatives for business growth."," Degree in Computer Science, Statistics, Econometrics, Business Development or other related fields. ·  Basic understanding of statistical modeling, machine learning, and data mining concepts. ·  Natural collaboration and leadership skills across functions. ·  Knowledge and experience of working with relational databases and SQL. ·  Passion to deeply understand user needs and a strong motivation to tackle their problems. ·  Proven ability to lead teams and work cross-functionally in a highly collaborative environment. ·  Excellent communication, presentation and consensus-building skills Preferred Qualifications: ·  3+ years of experience in product development/data science environment. ·  Experience with data visualization techniques (Tableau) ·  Experience with agile methodologies and collaboration tools"
177,2eab7ca8d8a725442b69199652dd7304,https://www.mycareersfuture.sg/job/data-strategist-tribal-worldwide-2eab7ca8d8a725442b69199652dd7304,Data Strategist,Permanent,TRIBAL WORLDWIDE PTE. LTD.,"PICO CREATIVE CENTRE, 20 KALLANG AVENUE 339411",Senior Executive,Advertising / Media ,5000,10000,Monthly,03 Jan 2019,0,0,0,1,"Tribal is the Total Experience agency We connect brands with technologies that solve real life problems. And by blending online and offline experience with internal culture and process we create products, services and communications that people love. With six specialist practices – designed to stand alone as well as snap together – we’re focused on creating value for customers and clients alike. Whether you draw on our expertise in Business Consultancy, Data Science and Customer Experience or Tech Consultancy, Creative and Innovation, we’ll help you redefine customer experience from the inside out. So if you’re intent on growing lifetime customer value, embrace Total Experience and make a real connection.  Scope: Reporting in to the Head of Business Technology, the Data Strategist provides data counsel to both internal and external stakeholders. Guided by data, you will find actionable insights to help clients grow their business. Numbers are your best friends and you find no issues implementing the tracking required, analysing the data and give the right recommendations. From automobile to travel to government accounts, no one problem (which data can solve) is unique. You will be driving data consultancy for your clients, which includes data discovery, data preparation, strategy and recommendations, and CRM. This role also entails keeping up to date with the latest marketing technology and working with partners to deliver data-driven marketing projects supported by new technology.   Responsibilities:  Work with account leads to develop strategic frameworks, standardize metrics, and create roadmaps for clients to start their data-driven marketing journey Work with data analysts to validate hypotheses and deliver data projects Develop and present data-driven customer journeys to help clients optimise their marketing strategy Advise both internal and external stakeholders on the most up-to-date ad formats, testing methodology, marketing technology, data science, and CRM strategies ","Requirements:  3-5 years of data strategy work in customer analytics, marketing optimisation, or data engineering Advanced level of proficiency with complex spreadsheets / analysis Proficiency in Tableau, Google Data Studio or equivalent Proficiency in Google Analytics and GTM implementation Proficiency in data engineering via R or Python Clear communication skills to present data strategy and recommendations to clients Proven ability to work cooperatively and proactively with staff inside and outside of department Workshop experience is a plus  Interested applicants, please send your resumes to career@sg.tribalworldwide.com indicating current and expected salaries.  "
178,ba6127e745a10ce5155e458624a308bb,https://www.mycareersfuture.sg/job/office-planning-manager-republic-polytechnic-ba6127e745a10ce5155e458624a308bb,Office of Planning - Manager (Data Analyst / Scientist),Full Time,Republic Polytechnic,9 WOODLANDS AVENUE 9 738964,Unknown,"Education and Training, Public / Civil Service",5700,6300,Monthly,03 Jan 2019,0,0,0,0,"You will be part of a new Data Analytics (DA) Unit that is responsible to drive the following objectives  Undertake DA projects, in partnership with internal departments as well as other organisations, on students’ learning and outcome, staff teaching, policy formulation/changes, work processes improvement and strategic planning. Provide advice and guidance to other departments to undertake DA projects; Champion and promote the use of data analytics; Work with internal and external technical teams to ensure usability and integrity of data for DA work  As a Data Analyst/Scientist, you will have the opportunity to:-  Translate business requirements and objectives into data models and effective implementation/ dashboard solutions. Migrate existing excel-reports and design dashboards and reports using visualization tools such as Tableau. Adopt and apply suitable machine learning, predictive models or other relevant techniques on a variety of data to derive meaningful statistics, uncover new actionable insights and predictive analytics. Promote understanding of the ecosystem of Data Science/ Big Data tools including data extraction and transformation Collaborate with end users, software development and database engineers in the planning, development and delivery of solutions. Recommend and communicate data-driven findings to both technical and non-technical stakeholders.  Spearhead objectives of DA Unit in alignment to RP’s organisational mission.   Requirements:  Experience in working with visualisation tools such as Tableau and creating insightful visualisation and analytics. Ability to create optimized data models and dashboards to address the business requirements from data sources such as MS SQL, Excel and flat file formats. Excellent people skills — you’ll be meeting with stakeholders to translate business needs into technical requirements. Strong attention to detail, time management skills and ability to work under pressure Relevant qualification in technical field such as Information Technology or equivalent Minimum of 2 years in data science, engineering or analytics role. Less experienced candidates may be considered for appointment as Assistant or Deputy Manager. Experience in using Python, R, databases/ SQL, machine learning techniques and in Education organisations or Institutes of Higher Learning will be advantageous.   ",None
179,751beb3c340b577339b4374994b816de,https://www.mycareersfuture.sg/job/data-scientist-analytics-worldwide-sales-airbnb-singapore-751beb3c340b577339b4374994b816de,"Data Scientist, Analytics - Worldwide Sales",Permanent,AIRBNB SINGAPORE PRIVATE LIMITED,158 CECIL STREET 069545,Senior Executive,Others,7800,14000,Monthly,03 Jan 2019,0,0,0,1,"Airbnb is a global platform that connects travelers and hosts from over 81,000 cities. Our mission is to enable a world where anyone can belong anywhere. Using data to help ensure a world class experience for our users is critical to our mission. The Sales Data Science team empowers our global sales teams by delivering high-quality data, analytics tools, and insights to drive strategy and decision-making for sales and B2B marketing at Airbnb. You will lead the development of analytical models, reporting, and insights to amplify the performance of our Sales and B2B marketing organization. Projects you own may relate to lead prioritization, sales cycle optimization, sales experimentation, forecasting, or a variety of other domains supporting sales teams across multiple business segments. Responsibilities:  Define key sales performance metrics and build ROI models Develop sales experimentation and attribution frameworks Surface insights on the sales conversion pipeline, customer segmentation, and customer success Collaborate with engineering to establish data pipelines and data hygiene Create dashboards and reports that provide ongoing insight to business stakeholders Develop advanced and predictive models such as lead prioritization, churn prediction and assist sales ops teams in using these models Partner with sales ops and regional directors to develop regional supply acquisition strategy Design and implement data-driven systems that increase sales agent success   ","Qualities:  6+ years analytics experience required; Master/PhD degree in a quantitative field is a plus 3+ years experience in Sales analytics: experience using data and reporting capabilities of Marketo, Salesforce.com and Google Analytics preferred Extensive project management experience, with proven ability to succeed in both collaborative and independent work environments Experience with statistical analysis and modeling Ability to translate quantitative data into actionable recommendations and communicate to sales and marketing partners Strong written and verbal communication Fluency in the core toolkit of Data Science:     Advanced SQL/Hive R/Python Manipulating large-scale data sets Descriptive and predictive modeling Implementing visualizations, dashboards, and reports     "
180,c73d5c3ade753f4cf2312c09a2da5f10,https://www.mycareersfuture.sg/job/scrum-master-c73d5c3ade753f4cf2312c09a2da5f10,IT Scrum Master,Full Time,Company Undisclosed,,Professional,Information Technology,7000,12000,Monthly,03 Jan 2019,0,0,0,0," There will be a few projects on-going at any one time with 10 FTEs and 5-10 data engineering consultants, involving NLP, ML (Machine Learning), AI (Artificial Intelligence), NN Experience of working with Advanced Analytics or Data Science teams and projects "," Must be Scrum Master certified Experience as a Project/Programme Manager and Scrum Master working on Infrastructure and Application development projects Demonstrated technical expertise in AI, Machine Learning, and data processing Experience with applied mathematics techniques including Data Mining, Statistical Analysis, Predictive Modelling, Algorithm Development Experience with GCP, AWS tech stack (Spark, Hadoop), and related Big Data Technologies Breadth of knowledge across statistical methods and machine learning algorithms Confidence, enthusiasm, and drive, flexible and willing to adapt to the changing requirements of a dynamic industry Exceptional communication & customer interaction skills Proven successful experience of delivering projects end-to-end from discovery to production of Machine Learning and predictive models Commercial awareness of financial products, as well as the unique challenges faced in the financial sector, is highly desirable Excellent communication and presentation skills, with the ability to interact with clients and internal stakeholders Ideally experience contributing to professional communities as a speaker, author or online contributor Consultative skills, able to communicate complicated technical and analytical information to non-technical audiences "
181,deab9833b45741b8d266c93fc0b70c47,https://www.mycareersfuture.sg/job/performance-optimization-analyst-vungle-sea-deab9833b45741b8d266c93fc0b70c47,Performance Optimization Analyst,Full Time,VUNGLE SEA PTE. LTD.,,Executive,Advertising / Media ,4000,6000,Monthly,03 Jan 2019,0,0,0,0," Drive optimization and strategy for key advertiser accounts in the region Manage revenue-driving projects alongside stakeholders from various departments Work with team members to ensure the highest level of service for key advertising partners Continuous testing & learning—leverage new techniques to drive value for partners Define and analyze partner metrics to achieve success Find solutions to technical mobile attribution problems Attend client meetings as an analytical expert Act as bridge between Sales, Data Science, Engineering and Product Train and mentor new analysts on the team "," 3-5 years of experience in online/mobile advertising Strong client facing experience in a similar industry Analytical with strong quantitative skills and a strong working knowledge of Excel Excellent communication skills to effectively report findings and influence change High level of attention to detail and excellent organizational skills An ambitious self-starter who thrives in a fast-paced environment and wants to make an immediate impact Comfortable working independently, as well as part of a team BS/BA required—analytical degree preferred SQL, Looker or similar querying experience Fluent English language ability; fluency in Asian languages a plus  Applications directly to JobsBank will not be checked as quickly. For a faster reply, please send your resume directly to jennifer.ho@vungle.com and cite JobsBank as where you viewed our job opportunity. Thank you!"
182,582da194adfa804b3196644999d93d2c,https://www.mycareersfuture.sg/job/regional-sales-operations-lead-apac-airbnb-singapore-582da194adfa804b3196644999d93d2c,"Regional Sales Operations Lead, APAC",Permanent,AIRBNB SINGAPORE PRIVATE LIMITED,158 CECIL STREET 069545,Manager,Sales / Retail ,11600,22000,Monthly,03 Jan 2019,0,0,0,1,"Founded in August 2008 and based in San Francisco, California, Airbnb is a trusted community marketplace for people to list, discover and book unique accommodations from around the world - online or from a mobile phone or tablet. Whether an apartment for a night, a castle for a week, or a villa for a month, Airbnb connects people to unique travel experiences, at any price point, in more than 34,000 cities and 191 countries. And with world-class customer service and a growing number of users, Airbnb is the easiest way for people to monetize their extra space and showcase it to an audience of millions. No global movement springs from individuals. It takes an entire team united behind something big. Together, we work hard, we laugh a lot, we brainstorm nonstop, and are passionate about the company and our values. Airbnb is putting together a highly motivated, global sales and customer success team to further the Airbnb mission of providing inspiring travel experiences for our hosts and guests. For this team and the businesses or categories they support to be successful, Airbnb is building a RevOps platform that connects Marketing, Sales Operations, Enablement and Strategy across the full customer lifecycle. As the Regional Sales Ops Lead you will partner with the respective Regional Sales and Customer Success Leads on multiple initiatives from defining local market strategies and programs through to the day to day execution of the business. You should be familiar with a variety of sales methodologies, best practices, and sales metrics and cycles. RESPONSIBILITIES  Drive clear communication from the region to global teams regarding performance against monthly and annual targets. Identify reporting issues, gaps in processes, and drive timely resolution Manage the monthly cadenced business reporting for the business segment Support Regional Leads & Market Managers in drafting and executing market strategies and programs. Partner with data science to size markets/products, opportunities, and measure ROI Support the creation and own the regional execution of sales and customer success playbooks Define the key sales support systems/processes required to meet the rapid growth of the business and achieve revenue attainment and market development objectives Help hire and onboard new sales and customer success reps. Support reps ongoing learning and development Assist Sales Leads in all aspects of evaluating their teams’ performance Prepare ad hoc analysis & participate on projects as needed ","QUALIFICATIONS  At least 8 years of work experience and minimum 5 years in a sales operations role Proven track record as a great cross-functional business partner and ability to lead within a cross-functional environment Experience building and executing regional/local market strategies and programs Develop and monitor metrics, dashboards and reporting tools to improve sales productivity and efficiency across the customer lifecycle Experience onboarding new reps and supporting their ongoing learning and development Experience across the Customer Lifecycle with pre-sales, sales and customer success teams Deep understanding of value drivers in recurring revenue business models Strong problem solving and analytical skills Excellent verbal and written communication skills Accuracy and attention to detail Professional and consistent work habits, strong work ethic, driven to achieve company goals Proven ability to succeed in both collaborative and independent work environments Proficient in Salesforce, Excel and GSuite "
183,7012d7ea971fed0bdf7a9cbb35c5d021,https://www.mycareersfuture.sg/job/head-engineer-7012d7ea971fed0bdf7a9cbb35c5d021,IT Head Engineer,Permanent,Company Undisclosed,,Professional,Information Technology,7000,12000,Monthly,03 Jan 2019,0,0,0,1,"Purpose The Head Engineer will lead all aspects of technology, from architecture and back-end, to software development and deployment of the applications both web-based and mobile-based. You will provide the technology vision to the product and build a world class passionate technology team. You should be well networked and are actively involved in technology communities around your interest areas. Your strength should be in product-engineering, data science, object-oriented programming, software architecture, product and project management.   Responsibilities  Deliver products and platforms, and lead technological initiatives for building competitive advantages in products and platforms Own key product and platform quality, reliability, and performance metrics Be the steward of software engineering best practices (including code quality, test coverage, product quality), processes, abstractions, metrics Be the steward of high velocity DevOps in the organization Be the steward and an architect of highly available and scalable microservices architecture in the organization Keep up to date with trends and innovation in engineering, including containers and orchestration, serverless, DevOps, NoOps, other programming paradigms, etc. and shape company technology strategy in alignment with business strategy Direct strategic technology capability investment to build future company growth engine and competitive advantage Attract and grow top engineering talents in the region Sustain learning and knowledge sharing culture in the organization "," Experience in building and growing engineering teams and scalable systems with best practices in top technology companies serving large user base. Experience in building large scale distributed systems. Experience with building search, recommendation system, production-grade machine learning systems, or other data-driven products or systems with advanced algorithms is a plus. Strong analytical and strategic thinking skills to handle both the big picture and crucial technical decisions. Strong communication and stakeholder management skills to navigate a large organization. Good business acumen and ability to understand market and user needs. Work closely with the company leaders including the Founder, Product, Customer Experience, Big Data and Data Science teams to strategically use fact-based analyses to deliver recommendations and AI products. "
184,4edabfc8d749be8d299b154321482f13,https://www.mycareersfuture.sg/job/head-engineer-amarisai-4edabfc8d749be8d299b154321482f13,IT Head Engineer,Permanent,AMARIS.AI PTE. LTD.,,Professional,Information Technology,7000,12000,Monthly,03 Jan 2019,0,0,0,1,"Purpose The Head Engineer will lead all aspects of technology, from architecture and back-end, to software development and deployment of the applications both web-based and mobile-based. You will provide the technology vision to the product and build a world class passionate technology team. You should be well networked and are actively involved in technology communities around your interest areas. Your strength should be in product-engineering, data science, object-oriented programming, software architecture, product and project management.   Responsibilities  Deliver products and platforms, and lead technological initiatives for building competitive advantages in products and platforms Own key product and platform quality, reliability, and performance metrics Be the steward of software engineering best practices (including code quality, test coverage, product quality), processes, abstractions, metrics Be the steward of high velocity DevOps in the organization Be the steward and an architect of highly available and scalable microservices architecture in the organization Keep up to date with trends and innovation in engineering, including containers and orchestration, serverless, DevOps, NoOps, other programming paradigms, etc. and shape company technology strategy in alignment with business strategy Direct strategic technology capability investment to build future company growth engine and competitive advantage Attract and grow top engineering talents in the region Sustain learning and knowledge sharing culture in the organization "," Experience in building and growing engineering teams and scalable systems with best practices in top technology companies serving large user base. Experience in building large scale distributed systems. Experience with building search, recommendation system, production-grade machine learning systems, or other data-driven products or systems with advanced algorithms is a plus. Strong analytical and strategic thinking skills to handle both the big picture and crucial technical decisions. Strong communication and stakeholder management skills to navigate a large organization. Good business acumen and ability to understand market and user needs. Work closely with the company leaders including the Founder, Product, Customer Experience, Big Data and Data Science teams to strategically use fact-based analyses to deliver recommendations and AI products. "
185,5705478a8cbee18ed06d0506ce4a376f,https://www.mycareersfuture.sg/job/data-science-training-development-manager-government-technology-agency-5705478a8cbee18ed06d0506ce4a376f,Data Science Training And Development Manager,Permanent,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,8000,Monthly,17 Dec 2018,0,0,0,1,"As a Data Science Training And Development Manager in GovTech Data Science & Artificial Intelligence Division, you will develop the competency framework, training roadmap, curate and develop courses that are suitable for various levels of analytics competencies from basic data literacy to expert data science practitioners across the Whole-of-government. You will collaborate with industry and academic partners to create a vibrant training ecosystem that public officers can tap on. You are a decisive and driven individual who takes a proactive approach to running programmes and managing projects to meet overall objectives and targets of the organisation. Success in the role will be demonstrated by your ability to effectively deal with dynamic situations while keeping to achieve impactful outcomes aligned to the overall strategy of levelling up Data Science capabilities across the Whole-Of-Government, such as the push to train 20,000 public officers in data analytics and data science. What To Expect:  Develop and maintain a comprehensive competency framework for Data Science and AI referencing frameworks used in the industry but tailored for the government sector Develop and maintain a training roadmap built on top of the competency framework that is contextualised for public officers (e.g. what are the analytics skill sets given a particular job role, and therefore what are appropriate courses to help officers attain these skill sets) Improve and evolve the training roadmap based on understanding the skills demand within government, through interaction with government agencies, projects and feedback from the community of data science enthusiasts and practitioners Develop training courses, which support both the data literacy and applied proficiency skills from basic to expert level in the areas of AI, Machine Learning and Data Science, independently or in partnership with industry and academic partners Coordinate the delivery of training courses for partner agencies, and where required, to also personally deliver some of the training Track and analyse the post-training feedback from internal training and external partners’ training for management reporting and improvements Manage all aspects of the assigned projects independently, including but not limited to programme execution, budgeting  How To Succeed:  Degree or Diploma in Computer Science, Information Technology or equivalent, with experience in AI / Data Science / Machine Learning Minimum 3 years of relevant experience in Data Science & AI practitioner work and training/lecturing in relevant subjects Demonstrate some experience in developing training curriculum and/or delivering a course Confident in training delivery and able to explain technical AI / Data Science / Machine Learning knowledge to a layman audience. Prior experience in engaging public officers and government agencies on projects and collaborations is not a requirement, but will be an added advantage Excellent English language skills both oral and written Comfortable working independently with minimum supervision ",None
186,ed592471e3bf926a6bcee241bc6dfe58,https://www.mycareersfuture.sg/job/devops-engineer-data-science-artificial-intelligence-government-technology-agency-ed592471e3bf926a6bcee241bc6dfe58,"DevOps Engineer, Data Science and Artificial Intelligence",Permanent,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,8000,,17 Dec 2018,0,0,0,1,"The Government Technology Agency (GovTech) aims to transform the delivery of Government digital services by taking an ""outside-in"" view, putting citizens and businesses at the heart of everything we do. We also develop the Smart Nation infrastructure and applications, and facilitate collaboration with citizens and businesses to co-develop technologies. Join us as we support Singapore’s vision of building a Smart Nation - a nation of possibilities empowered through info-communications technology and related engineering. Who we are: GovTech's Data Science and Artificial Intelligence team uses technology and data to help deliver high-quality digital services to citizens and businesses in Singapore. We build software for government agencies to better understand and use their data to improve operations and decision making. What the role is: You will work on both small and large scale projects, building and maintaining the infrastructure behind them. We are fully aligned with the Government’s cloud-first policy and you will bring capability to help us realise this. The role includes:  Managing the development, deployment, orchestration and maintenance of data pipelines for our Data Science products Providing DevOps architecture implementation and operational support Architecture and planning for cloud deployments (Private and Public cloud) Developing and managing processes, automation, best practices, documentation Development and operation of continuous integration and deployment pipelines.   What it is like working here: We build products that serve a variety of agency users, who use them to solve highly meaningful problems pertinent to our society, from transportation, to education, to healthcare. You are expected to have ownership over the problems that you solve. This means having ideas on how things should be done and taking responsibility for seeing them through. Building something that you believe in is the best way to build something good. As we often deal with big data and computing requirements, you are also able to take a long-term strategic view of the platforms you work on, and help provide this perspective to the team. To do so, you will:  Effectively prioritise and execute tasks in a high-pressure environment  Develop and maintain internal engineering productivity tools and environments Perform independent research into product and environment issues as required  Monitoring automation to effectively detect/predict/prevent issues in the environment and code base Future-proofing the technical environments and ensuring extreme high levels of automation, availability, scalability and resilience Hands-on coding and mentoring, working in highly collaborative teams and building quality environments Have knowledge in and/or continuously learn lots of different open source technologies and configurations  What we are looking for: The customers for our products are normally agency users, which means that breadth of knowledge in government IT infrastructure and experience in government networks will help. Since our direction is cloud-first, you will likely have some experience in patch/update scheduling, and knowledge of security incident response procedures. A disciplined approach and strong problem-solving instincts are fundamental to succeed. Your aptitude for completing the tasks and attitude to continuous learning are more valued than any formal certification. To succeed you will need to possess some of the following:  Excellent problem solving and methodical troubleshooting skills Strong knowledge and experience in DevOps automation, containerisation and orchestration using tools eg. Ansible, Airflow, Docker, Kubernetes, Terraform, Artifactory/Nexus Sonatype Cloud computing deployment and management experience in AWS, GCP Strong scripting skills e.g. Python, Bash, JavaScript, Scala, Rust, Go Strong understanding of Apache Spark/Flink, Hadoop, distributed file systems and resource scaling/scheduling, streaming message queues (RabbitMQ, Kafka) Strong understanding of virtualization and networking concepts Experience with patch maintenance, regression testing and security incident response Experience with interactive workloads, machine learning toolkits and how they integrate with cloud computing e.g. Databricks, KX Experience with highly scalable distributed systems Experience with on-premise deployments, government application and networking infrastructure/routing Breadth of knowledge - OS, networking, distributed computing, cloud computing ",None