Responsibilities

You will undertake research and analysis of issues are relevant to the Ministry to enable evidence-based policy formulation. Specifically, you will carry out research to understand interactions between people, and with the built environment in areas such as:

• Assessing public housing affordability, and understanding the public housing needs of Singaporeans;
• Developing surveillance capabilities to better understand key drivers that affect property market prices in Singapore;
• Deepening our knowledge of housing and related social issues faced by different population segments and the efficacy of related policies;
• Understanding the social cohesiveness of our community and residents’ sentiments toward the living environment.

You will be part of a dynamic, multi-disciplinary team that will be actively involved in conceptualising qualitative and quantitative research studies. You will collect, integrate and analyse large-scale datasets using appropriate methods. You should have the passion to discover new insights through the use of algorithmic, statistical, data-mining, machine learning and visualization techniques.

Requirements

• Qualifications and/or relevant experience in a quantitative discipline: Data Analytics, Engineering, Economics, Statistics, Applied Mathematics, Computer Science, or related disciplines with substantial quantitative content (e.g. regression, predictive analytics, modelling, forecasting)
• Knowledgeable in advanced statistical and modelling techniques, especially in analysing administrative, survey and experimental data
• Experience in handling large datasets (e.g. merging data, transforming data), software programming, data analytics, visual analytics (e.g. creating dashboards), use of GIS, and sense-making of both structured and unstructured data
• Deep knowledge in SQL, Informatica, SAS, R, Python and/or Tableau will be an advantage
• Excellent communication skills and the ability to explain research results simply and logically