Senior Data/ Data Scientist (Contract) at Public Service Division

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Statistical Analysis, Python, Frontend Frameworks, Data Wrangling, Analytical Techniques, Agile Methodologies, Cloud Computing, Product Management, Communication Skills, Generative AI, Business Analysis, Knowledge Sharing, Collaboration, Continuous Learning

Industry

IT Services and IT Consulting

Description

[What the role is] MAS’ Data Analytics & Engineering Division (DAE) is a specialised team within the Data Technology and Architecture (DTA) Department within the Technology Group (TG) in MAS. DAE’s primary purpose is to partner internal MAS functions to generate business value through the enablement of effective and efficient use of data driven insights for business value creation. This is achieved through effective strategies, strong in-house development capability, standardization of processes, tooling enablement, establishing a product development mindset, promoting knowledge sharing within MAS and complementary external collaborations. [What you will be working on] Lead advanced data science projects using sophisticated techniques to uncover insights, refine problem statements to solve challenges and deliver business value Develop and implement cutting-edge machine learning models, including generative AI, for specific business domains Build web applications powered by machine learning and generative AI models, transitioning from proof-of-concept to production Collaborate on cloud application architecture, contribute design and implementation Conduct business analysis to recommend solutions for complex problems, utilising Agile methodologies for project delivery Manage the full product lifecycle, from roadmap development to market launch, coordinating with cross-functional teams to ensure successful product delivery [What we are looking for] Minimum of 5 years relevant working experience in data science, machine learning, and statistical analysis Proficiency in Python with familiarity in frontend frameworks Strong understanding of complex machine learning algorithms, including generative AI, and their practical implementation Extensive experience in data wrangling, advanced analytical techniques, and statistical techniques Current knowledge in machine learning techniques and familiarity with relevant tools and open-source libraries Familiarity with Agile frameworks and cloud computing concepts and services Demonstrated ability to analyse business problems and develop effective solutions Experience in product management, including go-to-market strategies and lifecycle management Excellent communication skills with the ability to collaborate across diverse teams and stakeholders Commitment to continuous learning and staying updated with the latest developments in data science and machine learning As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment. This is a 2-year contract role. All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting. http://jobs.careers.gov.sg The Singapore Public Service plays a key role in the economic growth, progress and stability of Singapore by formulating and implementing government policies, as well as providing key public services. Whether you are a fresh graduate joining the workforce or an experienced professional, the Singapore Public Service offers a great variety of job opportunities for you. The work in the Public Service can be broadly categorised into the following sectors: Economic, Social, Security & External Relations, and Administration & Corporate Development. Be part of the team that shapes the future of Singapore. Log on and take your first step towards a career that matters! Need help? Please click here for assistance. Our team will contact you shortly!

Responsibilities

Lead advanced data science projects to uncover insights and deliver business value. Manage the full product lifecycle, coordinating with cross-functional teams for successful product delivery.