Applied Scientist, FBA: Inventory & Network Optimization

Amazon Inc.; Factoria (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon is seeking an Applied Scientist to invent optimization models and algorithms that improve how FBA plans and places inventory across its global fulfillment network. You will own end-to-end model development for replenishment and placement, collaborating with product managers and engineers to translate business challenges into scalable science that drives billions in value.

Join a fast-paced, data-driven team that values experimentation, rigorous analysis, and production-grade solutions

Qualifications

• 2+ years of building models for business application experience.
• Patents or publications in top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Demonstrated ability to build complex optimization models from scratch and take them to production.
• PhD in Operations Research, Industrial Engineering, Computer Science, Statistics, Applied Mathematics, Economics, or a related quantitative field.

Responsibilities

• Own the development of the replenishment, placement, and transportation-planning algorithms that decide how a seller's inventory flows across Amazon's fulfillment network.
• Design and implement large-scale optimization models and algorithms for complex inventory-planning problems, and the prediction and estimation layer they depend on.
• Partner closely with Product Managers and engineers to define high-impact problems, translate ambiguous business challenges into well-scoped science initiatives, and deliver actionable, science-driven solutions.
• Build and deploy science solutions into production pipelines, ensuring that models operate reliably at scale across a network serving hundreds of thousands of sellers.

Skills

Optimization models

Java/C++/Python

Production deployment

Research publications

Education

PhD in quantitative field

Job description

Amazon is seeking an Applied Scientist to invent optimization models and algorithms that improve how FBA plans and places inventory across its global fulfillment network. You will own end-to-end model development for replenishment and placement, collaborating with product managers and engineers to translate business challenges into scalable science that drives billions in value.

Join a fast-paced, data-driven team that values experimentation, rigorous analysis, and production-grade solutions