Job description

What The Role Is

You conduct data science (DS) projects to enhance MINDEF/SAF’s decision-making in policy, operations and resource management. You apply DS concepts and techniques in the investigation of strategic and high-risk business problems, and produce insights and recommendations for MINDEF/SAF’s management and stakeholders. You are involved in all phases of the DS projects, from conceptualisation, data preparation, analysis and model development, to visualisation of insights and recommendations.

What You Will Be Working On

On this, you adopt best practices with regard to data cleaning, preparation and analysis, constantly review the quality of results generated, and explore various concepts and techniques to improve technical accuracy and reliability of results. At each stage of the DS work, you highlight key deliverables and timelines to stakeholders, and manage expectations of the key outcomes. Additionally, you collaborate with business domain experts, as well as technical counterparts from the wider MINDEF/SAF Community, GovTech and other public service agencies to co-create impactful and innovative DS solutions. Your challenge lies in understanding and explaining complex technical insights and the resulting recommendations to a wide range of audiences, from DS practitioners to senior MINDEF/SAF decision makers.

What We Are Looking For

You must have a tertiary qualification in Statistics, Machine Learning, Computer Science, Operation Research or a related quantitative discipline. Knowledge of cognitive psychology would be an advantage. You should preferably have 1 to 2 years’ work experience in a DS/analytics role and in the application of advanced DS techniques such as text analytics, data mining, clustering, machine learning, modelling and simulation. You should also have hands-on expertise in the use of at least one programming language (e.g. Python, R, Matlab, Java). Possession of good communication and interpersonal skills, and being curious, creative, organised and detail-oriented, are essential. Having knowledge of big data processing framework and tools (e.g. SQL, Spark, Hadoop, MapReduce), application development, web programming or visualisation tools (e.g. Qlik, Tableau) is advantageous.

(Candidates with no experience may apply.)

Only shortlisted candidates will be notified.

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