Applied Scientist, SCOT FO Science and Tech
Amazon· SCOT Fulfillment Optimization Science & Tech (FO SnT)
Hybrid (Luxembourg)Full-timePosted 1mo ago
About the role
Applied Scientist role focusing on designing and building optimization models to power Amazon's fulfillment decisions at scale, with responsibilities spanning problem formulation, prototype development, productionization, and collaboration with engineering to ship scalable, real-time solutions.
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: 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.
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
Skills
Required:PhDProgrammingAlgorithms and data structuresOptimization methods
Nice to have:Communication with stakeholders
Last updated Oct 25, 2026. Interested? Apply on the company site.
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