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DSTA

Analyst / Senior Analyst

DSTA

Singapore · À temps plein

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Expérience
N'importe lequel
Salaire
Ouvertures
1
Publié
il y a 6 jours
Work mode
Au bureau
Éducation
Degree in Operations Research, Engineering, Mathematics, Data Science, Computer Science, Computer Engineering, or related field
Eligibility
Candidates with a degree in Operations Research, Engineering, Mathematics, Data Science, Computer Science, Computer Engineering, or a related field who are strong in analysis, programming, and communication, and who work well in a team are suitable for this role.
Resume
Required to apply

Where you'll work

Description de l'emploi

Role overview

DSTA is looking for a driven Analyst or Senior Analyst to join the Masterplanning and Systems Architecting Programme Centre in Singapore. The role focuses on helping MINDEF, SAF, and DSTA make well-informed decisions through structured analysis and technical problem-solving.

What you will do

  • Partner with MINDEF, SAF, and DSTA stakeholders to understand the issue, shape the problem statement, and identify the critical decisions that need support.
  • Build decision-support models, combat simulations, and other analytical solutions using optimisation methods, artificial intelligence, and modelling and simulation techniques.
  • Carry out detailed analysis to generate insights that can guide system choices and operational concepts.

Training and support

The role comes with structured in-house training, guidance from experienced analysts, and customised work assignments designed to help you grow into the position.

Requirements

  • A degree in Operations Research, Engineering, Mathematics, Data Science, Computer Science, Computer Engineering, or a closely related discipline.
  • Solid grounding in modelling and simulation, probability and statistics, and programming languages such as VB, Java, C++, or C#.
  • Strong analytical thinking, with excellent written and spoken communication skills.
  • A collaborative mindset, along with initiative, adaptability, and a willingness to learn.

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