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Principal / Senior Data Scientist, Data Science & AI

Agency: Home Team Science and Technology Agency (HTX)
Job no.: 551160
Work type: Full-time, Permanent/Contract
Location: Singapore
Categories:InfoComm, Technology, New Media Communications, Engineering

Home Team Science and Technology Agency (HTX)

HTX is the world’s first Science and Technology agency that integrates a diverse range of scientific and engineering capabilities to innovate and deliver transformative and operationally-ready solutions for homeland security. As a statutory board of the Ministry of Home Affairs and integral to the Home Team, HTX works at the forefront of science and technology to empower Singapore’s frontline of security. Our shared mission is to amplify, augment and accelerate the Home Team’s advantage and secure Singapore as the safest place on planet earth.

Join us if you would like to be part of HTX’s force multiplier to exponentially impact Singapore’s safety and security.



We are looking for someone who is visionary, knowledgeable and experienced in leading a team of data scientists. If you like to design, develop and implement data science models and algorithms, we want you!

Successful candidate’s primary job role focuses on being in-charge of solving stakeholders’ problems using advanced data science technologies.

What to expect:

  • Lead multi-party discussions to define, formulate and scope complex problems solvable through data science approach so as to address stakeholders’ strategic intents and operational outcomes
  • Design, develop and implement strategies and workflows for data pre-processing, feature engineering, and data integration effort for the purpose of Machine Learning (ML) model development
  • Apply advanced modelling techniques/algorithms, and optimise codes to maximise algorithms’ efficiency and effectiveness
  • Create models using new/complex techniques and algorithms
  • Manage multiple large scale & rigorous model testing and evaluations for field deployment
  • Mentor data scientists in data science related technical issues


The job-holder will be responsible for the following:

  • Apply 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, develop machine learning models, and evaluate techniques and algorithms
  • Lead 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
    • Automatic Speech Recognition
    • Geospatial Information System / geospatial analysis
  • Keep abreast of latest developments in the fields of Data Science / Artificial Intelligence
  • Coach and develop the officers under the job-holder’s charge


Job requirements

  • Masters or PhD in a quantitative discipline that involves Data Science/Analytics, Statistics, Applied Mathematics &/or Scientific Computing
  • Minimum 5 years of extensive experience solving analytical problems using quantitative approaches, including machine learning and statistical modelling
  • Well-versed in using and adapting algorithms from machine learning libraries such as scikit-learn, numpy/scipy, pandas, NLTK &/or Tensorflow
  • Well-versed in visualisation tools such as Tableau, Qlikview/Qliksense, &/or Microsoft Power BI
  • Able to effectively convey complex data analysis and results to non-specialist users, as well as being able to converse in technical terms to experts
  • Able to work both independently and in teams, and across institutional boundaries
  • A strong track record of supervising practical delivery of projects is an advantage
  • A track record in deploying data science/AI models in production environments is an advantage


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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