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Senior Assistant Director/ Deputy Director (Data Science Unit), Planning and Organization Division

Agency: Ministry of Home Affairs
Job no.: 528980
Work type: Permanent/Contract
Location: Singapore
Categories:Others, Research and Analysis

We work as a team, in partnership with the community, to make Singapore our safe and secure Best Home.

The Ministry of Home Affairs (MHA) aspires to be a world-class organisation in delivering safety and security for our people. In pursuing our mission to make Singapore our Safe and Secure Best Home, we remain always constant and true to our core values of Honour and Unity.


  • Keep abreast of latest developments in the fields of Data Science / Artificial intelligence.
  • Actively guide application and adaptation of statistical and machine learning techniques on large-scale datasets to address the diverse business needs for MHA
  • Design and implement workflows for data pre-processing and feature engineering, supervise the development of machine learning models, and oversee experiments to evaluate techniques and algorithms
  • Lead on statistical evaluation of analytical output (e.g. model) and regular review of productionized models; refresh/ retire models
  • Manage data analysis and visualisation projects and present analytical insights to business users and stakeholders
  • Collaborate closely with business users to extract actionable insights from data and processes and guide the team towards co-building data-driven & customized solutions
  • Formulate, refine and guide projects in one or more of the following areas:
    • Data mining and knowledge discovery
    • Machine learning
    • Visualisation, link analysis / graph databases
    • Artificial intelligence algorithms
    • Natural language processing
    • GISFormulate, refine and guide projects in one or more of the following areas:

Job requirements

  • Quantitative discipline that involves Data Science/Analytics, Statistics, Applied Mathematics &/or Scientific Computing.
  • Possess 5 or more years of extensive experience solving analytical problems using quantitative approaches, including machine learning and statistical modelling.
  • A strong track record of supervising practical delivery of projects is an advantage.
  • Programming in Python &/or R
  • Using and adapting algorithms from machine learning libraries such as scikit-learn, numpy/scipy, pandas, NLTK &/or Tensorflow
  • Visualisation tools such as Tableau, Qlikview/Qliksense, &/or Microsoft Power BI
  • Effectively conveying complex data analysis and results to non-specialist users, as well as being able to converse in technical terms to experts
  • Working both independently and in teams
  • Working across institutional boundaries

All new appointees will be appointed on a two-year contract in the first instance.

We wish to inform that only shortlisted candidates will be notified within 30 days upon closing of the advertisement.

Applications close:

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