Principal Applied Scientist, WW Fulfillment by Amazon - Global Supply Chain & Economics Science
Core
Lead the science strategy and execution for optimization algorithms powering Amazon's FBA supply chain, managing inventory routing, replenishment, and mechanism design for millions of sellers.
Role type
Principal Applied Scientist (Operations Research & Optimization)
Builds
Production-grade optimization models for inventory, transportation, and pricing across Amazon's global fulfillment network.
Domain
Supply Chain & Logistics / Operations Research / Economics
Deliverable
production ML models
Required skills
Operations Research, Reinforcement Learning, Mechanism Design, Auction Theory, Mathematical Modeling, Strategic Planning, Technical Leadership
Preferred skills
Supply Chain Optimization, Demand Forecasting, Game Theory, Assortment Optimization, Cross-functional Influence
Technologies
Reinforcement Learning, Optimization Algorithms, Auction Mechanisms
Responsibilities
Own science strategy for inventory routing and replenishment algorithms; Design incentive-compatible mechanisms and auction designs; Partner with PMs and engineers to deploy production-grade solutions; Influence senior leaders on technical direction; Mentor junior scientists.
Seniority
Principal, hands-on IC with strategy & mentorship