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Data Scientist

Internal Security Department · Singapour

New
Junior 🇬🇧 English
SAS SPSS Stata Matlab Python Java JavaScript C/C++ C# Scala Tableau Power BI D3 SQL Pig Hive Spark Hadoop MapReduce

Job description

About the role

ISD protects Singapore's internal security and stability, having played a central role for over 70 years in countering threats such as foreign subversion, espionage, racial and religious extremism and terrorism. It is recruiting a Data Scientist to work on data mining, machine learning and analytics projects. Only Singaporeans are eligible to apply.

Key responsibilities

  • Conduct end-to-end data mining on complex data sources, including processing, cleaning, integrating, analysing, visualising and detecting anomalies.
  • Present and communicate data-driven findings and recommendations clearly to stakeholders and management.
  • Evaluate and improve internal analytical and machine learning tools.
  • Identify, select and develop suitable AI or machine learning models for a range of problems and business principles.
  • Work with end users, data engineers and project managers on planning, development, scaling and delivery of solutions.

Required profile

  • Applicants with no experience may apply; only Singaporeans need apply.
  • Curious, self-motivated, resourceful and meticulous, enjoying challenges.
  • Passionate about data analytics, data mining, logic and problem solving.
  • Excellent understanding of mathematical, statistical and analytical concepts and their application.
  • Interest in keeping up with new developments in data mining, machine learning and data analytics algorithms, tools and methods.
  • Able to balance project objectives with technical detail.

Required skills

  • Advantageous: statistical, analytical or numerical computing tools (e.g. R, SAS, SPSS, Stata, Matlab).
  • Advantageous: programming or scripting (Python, Java, JavaScript, C/C++, C#, Scala).
  • Advantageous: visual analytics tools (e.g. Tableau, Power BI, D3).
  • Advantageous: machine learning and modelling (predictive analytics, natural language processing).
  • Advantageous: databases and querying languages (SQL, Pig, Hive, SparkQL) and big data systems (Hadoop, Spark, Pig, Hive, MapReduce).

Questions fréquentes

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Published 11 hours ago

Expires 1 month from now

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Internal Security Department

Singapour