Job Description

About Digital Transformation, Innovation & Data Division (DTID)

The Digital Transformation, Innovation & Data Division (DTID) is the business transformation office to drive A*STAR towards a digitally enabled and data-driven organisation. The office is responsible to define the digital vision, formulate digital strategies and develop the digital roadmap to frame and provide directions towards our digitalization efforts. DTID acts as the catalyst in driving digital transformation and is the bridge between business owners and technology supports. As the central office, DTID performs the role as the horizontal integrator to synergise and harmonise digital efforts and drive complex and cross-cutting digital initiatives for A*STAR. Beyond business-technology, the roles of DTID also entails the raising of digitally skilled and creative workforce to empower our workforce to harness digital technology and embrace business transformation. To support digitalization efforts, the office is also responsible to set digital/data policies and put in place governance and standards.

Job Responsibilities

Management of Analytics Centre of Excellence (COE), a community where like-minded professionals come together to cross learn, acquire exposure and contribute to the delivery of data analytics projects across A*STAR.
Work with business stakeholders/users to develop end-to-end advanced analytics solutions, from problem & use case formulation, data sourcing to develop and deploying the solution into production.
Work with business users to continue improving the enterprise analytic platform, tools, and reusable assets.
Work and share with Analytics COE & community to continue develop advanced analytics capabilities, adoption of best-in-class techniques and practices.
Responsible to curate, develop and conduct training sessions/workshops to equip COE members and wider A*STAR officers with the necessary data analytics/science knowledge and skills.
Assume Tech-lead role to coach junior data scientists and instill best practices

Job Requirements

Bachelor / Masters degree in computer science / engineering, information technology, business analytics, data science or artificial intelligence with strong focus in data mining, statistical / mathematical modellings, or machine learning.
15+ years of experience in conceptualizing and developing advanced analytics or data science solutions to solve business problems.
Familiar with analytics and machine learning platforms and how it integrates with upstream and downstream data and production systems.
Experience of working with business users to gather/understand user requirements and working with tech/data team to improve analytics platform to resolve user pain points.
Experience of managing complex and cross departments/domain projects.
Full stack data science experience covering end-to-end problem formulation, developing training pipeline and deploying solution to production.
Familiar with developing machine learning pipelines following dev practice such as versioning, branching, merging, linting, testing and writing codes in structured and modularized way.
Able to analyze business needs, articulate the solution framework including the model output, business decision and potential impact to drive the adoption of the solution.
Excellent problem-solving skills and strategic thinker.
Excellent written, oral & inter-personal communication skills.
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.
Type of Employment : Full-Time
Minimum Experience : 15 Years
Work Location : Fusionopolis