Applied Scientist, SCOT FO Science and Tech
Core
Design and build large-scale optimization models for Amazon's fulfillment network, managing real-time order assignment, capacity control, and cost-speed tradeoffs across millions of shipments.
Role type
Senior Applied Scientist (Operations Research/Optimization)
Builds
Production optimization systems for fulfillment center selection, truck routing, and network flow control
Domain
Logistics & Supply Chain Optimization
Deliverable
production ML models | production features
Required skills
Large-scale mathematical programming (LP, MIP, decomposition), Combinatorial optimization, Multi-objective optimization and control, Python programming, Algorithm design
Preferred skills
Experience building optimization systems in production, Unix/Linux usage, Professional software development
Technologies
Python, Optimization solvers, MIP, Heuristics, Decomposition methods
Responsibilities
Formulate and implement optimization models for fulfillment problems, Build research prototypes from formulation to production validation, Analyze tradeoffs between cost, speed, and capacity, Collaborate with engineering teams to deploy solutions, Present findings to leadership and operations teams, Own long-term research bets for the fulfillment network
Seniority
Senior, hands-on IC
