Data Scientist
2 days ago
At Careers@Gov, 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 driving 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 insights
- Collaborate with internal and external 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
- 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
We offer a dynamic and forward-thinking work environment, opportunities for growth and development, and a competitive salary package. If you are a motivated and detail-oriented individual with a passion for data analysis and machine learning, we encourage you to apply for this exciting opportunity.
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