Staff Data Scientist, Planning and Forecasting
Core
Building supply chain planning science from scratch, including demand forecasting, inventory placement optimization, and vendor performance modeling.
Role type
Staff Data Scientist (Supply Chain Planning)
Builds
Production forecasting models, inventory optimization systems, and vendor performance pipelines for a global retail network.
Domain
Retail / Supply Chain Operations
Deliverable
production ML models
Required skills
End-to-end modeling ownership, statistical forecasting, operations research, AI-native science workflow, LLM-aided exploratory work, agentic feature engineering, mentorship, ambiguous problem solving
Preferred skills
PhD in quantitative field, advanced degree in Statistics/CS/OR/Engineering/Economics
Technologies
LLMs, agentic loops, statistical methods, ML frameworks
Responsibilities
Own science workstreams end-to-end (forecasting, inventory, vendor modeling), set methodological standards, mentor junior scientists, partner with planning operators to translate operational needs into modeling problems
Seniority
Staff, hands-on IC with mentorship responsibilities
