Senior Applied Scientist, GEOS Science Team
Core
Formulate and solve large-scale optimization models to decide where Amazon builds fulfillment centers and sort centers, optimizing total network cost over a 20-year horizon.
Role type
Senior Applied Scientist (Operations Research/Optimization)
Builds
Real Estate Optimization System (REOS) and AI tools for site sourcing and validation
Domain
Logistics, Supply Chain, Real Estate, Operations Research
Deliverable
production ML models
Required skills
Large-scale optimization modeling, Mixed-integer programming, Network flow, Decomposition methods, Column generation, Python, Commercial solvers, Stochastic/robust optimization
Preferred skills
Data center capacity planning, Cloud solutions, Data engineering pipelines, AI-assisted development tools
Technologies
Python, C/C++, Java, Perl, Commercial solvers, Open-source solvers
Responsibilities
Formulate and solve large-scale optimization models for site location and network topology; Engineer solution methodologies for production scale; Own modeling assumptions and cost structures; Implement and productionize models with data pipelines; Engage customers to translate problems into formulations; Lead initiatives and mentor scientists
Seniority
Senior, hands-on IC with mentorship