Amgen seeks a Data Scientist, Forecasting to develop statistical, Bayesian, and machine learning models supporting demand forecasting and business decision-making across the organization. The role involves analyzing complex datasets, building simulation capabilities, and communicating insights to diverse stakeholders within the AI & Data organization.
Responsibilities
Develop and refine statistical, Bayesian, and machine learning forecasting models across multiple time horizons
Conduct exploratory data analysis and feature engineering on large, complex datasets
Build simulation and scenario-analysis capabilities to model patient, payer, and market dynamics
Support full modeling lifecycle including validation, deployment, monitoring, and explainability
Communicate analytical findings and model results to stakeholders across technical and business functions
Requirements
4+ years industry or research experience in data science, analytics, or statistical modeling
Demonstrated expertise in time-series forecasting or predictive modeling techniques
Proficiency in Python and SQL with data science libraries like scikit-learn, PyMC, or TensorFlow
Strong statistical foundation with ability to work with complex, unstructured datasets
Experience across model development workflow from preparation through interpretation
Clear communication of technical findings to both technical and non-technical audiences
Proven collaboration in cross-functional team environments
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