Statistician

Ministry of National Development

Singapore

Ref: 526672

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

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