Data Scientist

4 days ago

Singapur, Singapore Careers@Gov Full time
About the Role

We are seeking a highly skilled Data Scientist to join our Data Strategy & Analytics Division (DSAD) team. As a Data Scientist, you will play a pivotal role in deriving business insights from large and real-time datasets for fraud and risk management, strategic planning, and operational efficiency.

Key Responsibilities
  • Develop and deploy data analytic models to drive business decisions
  • Collaborate with stakeholders to understand analytic needs and develop effective solutions
  • Communicate analytic solutions to stakeholders and implement necessary improvements to operational systems
  • Identify relevant structured and unstructured data sources for mining meaningful insights
  • Build prototype analysis pipelines iteratively to provide scalable insights
Requirements
  • Tertiary qualification in a quantitative discipline such as Computer Science, Economics, Statistics, or Applied Mathematics
  • 3-8 years of experience in computer science, applied mathematics, or other quantitative/computational disciplines
  • Proven experience in data visualization tools (e.g., Tableau) and data analysis/processing tools (e.g., R, Python)
  • Experience with Cloud Technology (e.g., AWS data and analytics Tech Stack) and distributed computing tools (e.g., Hadoop/Spark)
  • Demonstrated ability in building machine learning models at scale, using real-time data pipelines on platforms
  • Strong analytical skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Proficiency in data engineering, including SQL and manipulating structured and unstructured data sources for analysis
  • Advanced skills in pattern recognition and predictive modeling
  • Experience or specialization in fraud prevention/detection, compliance, forensics, or Jobs and Skills related analysis will be considered advantageous
What We Offer

As a Data Scientist at Careers@Gov, you will have the opportunity to work on a wide range of projects, collaborate with a talented team of professionals, and contribute to the development of data analytics capabilities across the organization.

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