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Senior Data Scientist - Federal Reserve Bank of Chicago
Data Scientist
Lead advanced analytics and econometric modeling to inform monetary policy, leveraging Python, R, and SQL to extract insights from large financial datasets and build predictive machine learning models.
About the role
Key Responsibilities
- Design, develop, and deploy scalable data pipelines and analytical models to support monetary policy research and financial stability assessments.
- Apply advanced econometric techniques and machine learning algorithms to large-scale macroeconomic and financial datasets.
- Collaborate with economists, policy analysts, and IT teams to translate complex data findings into actionable policy recommendations.
- Present analytical results and visualizations to senior stakeholders, ensuring clarity and impact.
- Maintain rigorous documentation, reproducibility, and compliance with data governance standards.
Requirements
- Ph.D. or Master’s in Economics, Statistics, Computer Science, or related field with strong quantitative background.
- 5+ years of experience in data science, econometrics, or quantitative research within a financial or regulatory environment.
- Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and model deployment.
- Excellent communication skills and ability to convey complex technical concepts to non‑technical audiences.
Skills
pythonmachine learningsql