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# Applied Scientist, Modeling and Optimization

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Salary:** $142,800.0 - $193,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Private Networks, Business Software, C++ (Programming Language), Data Mining, Distributed Systems, Python (Programming Language), Parsing, High Performance Computing, Machine Learning Operations, Data Pipelines
- **Published:** September 17, 2026
- **Apply:** https://dejobs.org/x/x/A68B0B97E5BD4FCC817EE9D392005065/job/

## About the Role

* PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
 * 3+ years of building models for business application experience
 * Experience programming in Java, C++, Python or related language
 * Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
 * Experience in patents or publications at top-tier peer-reviewed conferences or journals

Preferred Qualifications

 * Experience implementing algorithms using both toolkits and self-developed code

## Description

Amazon's Modeling and Optimization (MOP) Team is looking for a passionate individual with strong optimization and analytical skills to join us in the endeavor of designing and improving the most complex transportation and fulfillment network in the world.

The team is responsible for optimizing the global transportation and fulfillment network for Amazon.com and ensuring that the company is able to deliver our customers' products to them as quickly, accurately, and cost effectively as possible. We design the network that delivers products from vendors and sellers to end customers, through both Amazon's internal network as well as external partners, using multiple transportation modes. Optimizing the end-to-end network requires deep understanding of inventory management, placement, transportation, and supply chain management. Only through innovative and strategic thing, we will make the right capital investments in technology, buildings and equipment that allows for long-term success., We are seeking an experienced scientist who has a solid background in Operations Research, Supply Chain Management, Applied Mathematics, or other similar domain.

In this role, you will develop and deploy models and tools that are innovative and scalable to solve new challenges in Amazon's global fulfillment network. You will collaborate with other scientists across teams to create integrated solutions that improves fulfillment speed, cost, and carbon emission. You have deep understanding of business challenges and provide scientific analysis to support business decision using a range of methodologies. You design science tool platforms, deploy models, create data pipelines, or simplify existing processes.

About the team

https://www.linkedin.com/feed/update/urn:li:activity:7089317294417346561


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