Applied Scientist, SCOT FO Science and Tech
Core
Design and build large-scale optimization models to power Amazon's fulfillment decisions, including order assignment, network flow control, and capacity management.
Role type
Senior Applied Scientist (Operations Research/Optimization)
Builds
Production optimization systems for real-time fulfillment network control
Domain
Logistics & Supply Chain Optimization
Deliverable
production ML models
Required skills
Large-scale mathematical programming (LP, MIP, decomposition), Combinatorial optimization, Multi-objective optimization and control, Python, Algorithms and data structures, Parallel and distributed computing, High-performance computing
Preferred skills
Experience building optimization systems in production, Publications in top-tier venues, Professional software development, Unix/Linux
Technologies
Python, Optimization solvers, MIP solvers
Responsibilities
Design and implement optimization models (MIP, heuristics) for fulfillment problems, Build research prototypes from formulation to production validation, Analyze tradeoffs (cost, speed, capacity) and present to leadership, Collaborate with engineering teams to ship systems, Run experiments on production-scale datasets, Own long-term research bets for the fulfillment network