Applied Scientist, Modeling & Optimization (Supply Chain)

Amazon; Bellevue (WA); Hybrid; USD 143,000 - 193,000; Full time

Job summary

Amazon’s Modeling and Optimization (MOP) Team is seeking an Applied Scientist to design and deploy optimization models for Amazon’s global transportation and fulfillment network. You will work with scientists across teams to improve speed, cost, and carbon footprint while understanding business challenges and delivering data-driven analyses.

The role emphasizes algorithm development, data pipelines, and scalable tools, with a strong foundation in operations research and supply chain management.

Qualifications

• PhD or Master's degree with 4+ years of science/engineering experience.
• 3+ years building models for business applications.
• Experience programming in Java, C++, Python or related language.
• Strong background in optimization, OR or related field.

Responsibilities

• Develop and deploy innovative, scalable models and tools.
• Collaborate with scientists to create integrated solutions.
• Provide scientific analyses to support business decisions.
• Design science tool platforms, deploy models and data pipelines.

Skills

Operations Research

Supply Chain Management

Applied Mathematics

Java

C++

Python

Data Mining

High-Performance Computing

Education

PhD

Master's degree

Tools

Self-developed code

Job description

Amazon’s Modeling and Optimization (MOP) Team is seeking an Applied Scientist to design and deploy optimization models for Amazon’s global transportation and fulfillment network. You will work with scientists across teams to improve speed, cost, and carbon footprint while understanding business challenges and delivering data-driven analyses.

The role emphasizes algorithm development, data pipelines, and scalable tools, with a strong foundation in operations research and supply chain management.