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Senior Data Scientist, Forecasting - Amgen
Data Scientist
Senior Data Scientist specializing in forecasting, building Bayesian and causal machine‑learning models to improve demand predictions and quantify uncertainty for strategic decision‑making.
About the role
Key Responsibilities
- Design and implement advanced statistical, Bayesian and causal machine‑learning models to enhance forecasting accuracy across multiple business units.
- Quantify and communicate forecast uncertainty, providing actionable insights for strategic planning and operational execution.
- Collaborate with cross‑functional teams—including product, supply chain, and finance—to integrate forecasting solutions into critical business processes.
- Develop and maintain scalable data pipelines and analytical tools using Python and modern data‑science libraries.
- Mentor junior data scientists, promote best practices in model validation, reproducibility, and documentation.
Requirements
- Advanced degree (Ph.D. or Master’s) in Statistics, Computer Science, Engineering, or a related quantitative field.
- 5+ years of professional experience building and deploying forecasting models in a commercial setting.
- Strong expertise in Python, statistical modeling, Bayesian methods, and causal inference techniques.
- Proven ability to translate complex analytical results into clear business recommendations.
- Experience with large‑scale data processing and version‑controlled code repositories.
Skills
pythonmachine learning