Amazon
Applied Scientist, Fulfilled-by-Amazon (FBA)
$143K–$193K
Bellevue, WA · Full-time · Posted Oct 19, 2026
- Experience
- 2+ years of building models for business application experience.
- Education
- PhD in Operations Research, Industrial Engineering, Computer Science, Statistics, Applied Mathematics, Economics, or a related quantitative field.
About the job
Develops and deploys optimization models and algorithms to plan seller inventory replenishment, placement, and transportation across Amazon’s fulfillment network.
What you'll do
- Own replenishment, placement, and transportation-planning algorithms for seller inventory flows.
- Design and implement large-scale optimization models and prediction and estimation layers, then deploy science solutions into production.
- Partner with product managers and engineers to turn business challenges into science initiatives and deliver solutions.
What they ask for
- Experience building models for business application.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Programming experience in Java, C++, Python or a related language.
- Ability to build complex optimization models from scratch and take them to production.
Nice to have
- Experience in supply chain optimization, demand forecasting, inventory management, or transportation/logistics algorithms.
- Experience with reinforcement learning, assortment optimization, mechanism design, auction theory, or game theory.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python
AI focus
Applies optimization and algorithms to inventory planning and placement; preferred experience includes reinforcement learning for sequential operations or supply chain decisions.
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