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: Barcelona, or London). 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.
Basic qualifications
- 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)
- Multi-objective optimization and control
Preferred qualifications
- Experience building optimization systems that run in production at scale
- Being comfortable with ambiguity and fast iteration cycles
- Publications in relevant venues
Key job responsibilities
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.
A day in the life
You formulate an optimization problem on a whiteboard with teammates, then protot
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