principal data scientist, Supply Chain Forecasting & Optimization
Core
Define the future of forecasting, planning, and decision-making across Starbucks by building a unified planning capability and enterprise source of truth using AI-powered planning.
Role type
Principal Data Scientist (Supply Chain Forecasting & Optimization)
Builds
Enterprise-scale forecasting and decision intelligence systems
Domain
Retail Supply Chain & Operations
Deliverable
production ML models
Required skills
Strategic vision, Machine Learning, Optimization, Operations Research, Causal Inference, Uncertainty Modeling, Python, SQL, Cloud Analytics, Model Governance, Cross-functional Leadership
Preferred skills
Supply Chain/Inventory Management, AI-powered planning capabilities, Unified planning framework integration, Advanced degree (MS/PhD), Large-scale transformation leadership
Technologies
Python, SQL, Modern Cloud Analytics Platforms
Responsibilities
Define scientific vision and technical roadmap for forecasting and optimization; Lead strategy for unified planning capability; Drive initiatives in demand forecasting, inventory optimization, and replenishment; Apply ML and optimization to solve complex business problems; Influence planning strategies across Supply Chain, Finance, and Technology; Establish technical standards and best practices; Mentor data scientists and raise the technical bar.
