Data Scientist, Sr. Specialist, Supply Risk Analytics
Core
Build AI-enabled analytics and probabilistic models to quantify, monitor, and mitigate supply risk across the pharmaceutical supply network.
Role type
Senior Individual Contributor Data Scientist (Supply Risk Analytics)
Builds
AI applications, risk models, forecasting components, and interactive front-ends for supply chain stakeholders
Domain
Life Sciences / Pharmaceutical Supply Chain
Deliverable
production ML models
Required skills
Python, SQL, Statistics, Probability, Machine Learning, Generative AI, Monte Carlo simulation, Data Visualization
Preferred skills
Databricks, AWS Glue, LLM application development, AI agent development, CI/CD, Agile methodologies, React, Streamlit
Technologies
Python, SQL, Databricks, AWS Glue, Claude Code, Streamlit, React, GitHub, Jira
Responsibilities
Develop and maintain forecasting and anomaly detection components; Build interactive front-ends for business users; Partner with Supply Chain and Procurement stakeholders to frame analytic problems; Use AI-assisted development tools for code scaffolding and refactoring; Document assumptions and validation results; Collaborate with cross-functional teams across global time zones
Seniority
Senior, hands-on IC
