Applied Scientist - Optimization, Amazon Transportation
Core
Invent and build optimization models and algorithms to plan and operate Amazon's middle mile transportation network, focusing on driver capacity optimization.
Role type
Applied Scientist (Optimization & Operations Research)
Builds
Optimization and planning systems for truck, train, and airplane freight routing and scheduling
Domain
Logistics, Transportation, Operations Research
Deliverable
production ML models
Required skills
Optimization mathematics (linear/nonlinear programming), Machine learning model development, Algorithm design, Java/C++/Python programming, Data analysis, Simulation and experimentation
Preferred skills
Advanced mathematical programming (column generation, cuts, benders decomposition), Meta-heuristic optimization, High-performance algorithm implementation (shortest paths, network flow), Statistical modeling (random forests, gradient boosting), Probability and statistics under uncertainty
Technologies
Java, C++, Python, GenAI
Responsibilities
Design and develop optimization models and algorithms, Build models from prototype to production, Translate business problems into modeling approaches, Influence business decisions through modeling, Write and present technical papers
Seniority
Senior, hands-on IC