07 set - Asti
Amazon
Applied Scientist, SCOT FO Science and Tech
How does Amazon decide which fulfillment center ships your order, which truck carries it, and how to keep promise, across hundreds of millions of packages daily? SCOT Fulfillment Optimization (FO) owns the science behind these decisions. We are seeking Applied Scientists to join the FO Science & Tech team in Luxembourg (alternatively: You will design and build optimization models that power Amazon’s fulfillment decisions at scale from real-time order assignment and multi-objective cost-speed tradeoffs to capacity-aware control systems that steer millions of shipments per hour toward operational plans.
PhD in Operations Research, Applied Mathematics, Computer Science, or related field (or equivalent experience)
Strong programming skills (Python preferred; experience with optimization solvers a plus)
Research experience in one or more:
Large-scale mathematical programming (LP, MIP, decomposition methods)
Combinatorial optimization (assignment, scheduling, network flows)
Experience building optimization systems that run in production at scale
Design and implement optimization models (MIP, heuristics, decomposition) that solve large-scale fulfillment problems, from order assignment to network flow control. Build research prototypes end-to-end: from problem formulation through scalable implementation to production validation. Analyse complex tradeoffs (cost, speed, capacity) and translate findings into actionable recommendations for leadership and operations teams. Collaborate with engineers to bring science solutions into production systems serving millions of customer orders daily.
You formulate an optimization problem on a whiteboard with teammates, then prototype it in Python with real data by the afternoon. You run experiments against production-scale datasets, iterate on the model, and present results to stakeholders who will use them to make network decisions next week. other days you're explaining a Pareto fron
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