Applied Scientist, SCOT FO - SnT
Core
Design and build state-of-the-art machine learning and optimization models to power Amazon's fulfillment decisions, including order assignment, resource utilization, and demand forecasting at global scale.
Role type
Senior Applied Scientist (Operations Research & Machine Learning)
Builds
Large-scale planning systems for order assignment and resource utilization; time-series forecasting models for customer demand.
Domain
Logistics & Supply Chain Optimization
Deliverable
production ML models
Required skills
Large-scale mathematical programming (LP, MIP, decomposition), Combinatorial optimization, Multi-objective optimization, Large-scale time-series forecasting, Causal inference, Python programming, Research experience in top-tier venues
Preferred skills
Production optimization system experience, Fast iteration cycles, Publications in relevant venues
Technologies
Python, Optimization solvers, GenAI models, Probabilistic forecasting
Responsibilities
Design and implement optimization and forecasting models for large-scale fulfillment problems; Build research prototypes end-to-end from formulation to production validation; Analyze complex tradeoffs (cost, speed, capacity, accuracy) and translate findings into actionable recommendations; Collaborate with engineers to bring science solutions into production systems serving millions of customer orders daily.
Seniority
Senior, hands-on IC