Senior/Researcher (Data Analytics), Research & Strategy Management Division

Full Time, onsite
Ministry of National Development
Singapore, Singapore

Salary undisclosed

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What the role is:We invite proactive, open-minded, and team-oriented candidates to apply for the position of Senior / Researcher (Data Analytics) in the Research and Strategy Management Division (RSM) at the Ministry of National Development (MND). As part of a dynamic and inter-disciplinary research team, you will contribute to wider policy and planning efforts to ensure that Singapore remains An Endearing Home, A Distinctive Global City.What you will be working on:You will work with dedicated researchers that straddle the social sciences, such as economics, psychology, sociology, as well as data science, to deliver timely and incisive analytical insights that inform MND's housing policies, land use planning and development efforts. To this end, your role will entail the following: a) Undertake quantitative research and data analysis that inform policy and planning. This will involve using advanced analytics, machine learning, and data visualisation techniques to support housing market surveillance and policy research in areas such as public housing affordability, housing needs assessment, and sentiment analysis. b) Synthesise and present research insights to Policy Divisions and Senior Management. This will involve translating complex data insights into actionable policy strategies and recommendations. c) Engage colleagues and stakeholders to support research and non-research work in MND and the Government. This will involve building relationships with other divisions and agencies, academia, and the private sector, and meeting administrative and functional needs in RSM and MND, including secretariat duties for policy and data forums. d) Drive better data use for policy making through the design and implementation of systems level solutions for MND Family. This includes guiding development of data analytics platforms and facilitating data-driven policy- and decision-making.What we are looking for:

At least a good bachelor's or graduate degree in a quantitative discipline (e.g., economics, statistics, applied mathematics, business analytics, data science, and computer science). Experience in a similar job role is also preferred. • Technically experienced and able to design, process and analyse data using R and/or Python. Working knowledge of STATA or SAS would be a plus. • Technical expertise in statistical modelling and analysis (e.g., regression/predictive modelling, Bayesian inference), generative AI (e.g., LLM), and data visualisation (e.g., creating geospatial dashboards on Tableau). • Experience in handling complex datasets (e.g., SQL) and navigating the government data architecture will be an advantage. • Strong communication and written skills and the ability to explain research results simply and logically to non-technical audience.

About Ministry of National Development:The Ministry of National Development (MND), the lead government agency responsible for land use planning and infrastructure development, aims to transform Singapore into an endearing home and a distinctive global city. At MND, we aspire to create a quality, vibrant and sustainable living environment for our people. We also strive to shape Singapore into a world-class city of knowledge, culture and excellence - one which keeps pace with global challenges and the rising aspirations of Singaporeans. Our Vision: An Endearing Home, A Distinctive Global City Our Mission: Develop world-class infrastructure Create a vibrant and sustainable living environment Build rooted and cohesive communities

At least a good bachelor's or graduate degree in a quantitative discipline (e.g., economics, statistics, applied mathematics, business analytics, data science, and computer science). Experience in a similar job role is also preferred. • Technically experienced and able to design, process and analyse data using R and/or Python. Working knowledge of STATA or SAS would be a plus. • Technical expertise in statistical modelling and analysis (e.g., regression/predictive modelling, Bayesian inference), generative AI (e.g., LLM), and data visualisation (e.g., creating geospatial dashboards on Tableau). • Experience in handling complex datasets (e.g., SQL) and navigating the government data architecture will be an advantage. • Strong communication and written skills and the ability to explain research results simply and logically to non-technical audience.