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# Applied Scientist, Operations Research, Modeling and Optimization (MOP)

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Salary:** $118,000.0 - $157,000.0
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Business Software, C++ (Programming Language), Computer Networks, Data Mining, Distributed Systems, Python (Programming Language), Mathematical Programming, Network Planning and Design, Parsing, Software Engineering, Reinforcement Learning, High Performance Computing
- **Published:** September 21, 2026
- **Apply:** https://www.careerjet.com/job/us14312f045086001558754b61608323e0/eaa

## About the Role

Amazon's Modeling and Optimization (MOP) team seeks motivated individual with strong analytical and algorithmic skills to optimize the global logistics network and its operations., 3+ years of building models for business application experience

 - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
 - Experience in patents or publications at top-tier peer-reviewed conferences or journals
 - 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
Preferred Qualifications

 - Experience using Unix/Linux
 - Experience in professional software development
 - Experience applying mathematical programming, process simulation, and reinforcement learning to operations research and optimization under uncertainty in real-world applications

## Description

Enhance global logistics network efficiency through data-driven simulation and optimization

 - Reduce variable costs by improving network design, inventory placement, process and operational planning, and resource allocation
 - Optimize capital investment through strategic fixed asset deployment planning
 - Develop metrics to quantify business impact of implemented solutions
A day in the life

 - Lead development of production-ready algorithms and scientific tools for under-the-roof (UTR) and network process analysis and optimization
 - Drive planning and execution decisions on operation timing and resource allocation to improve capacity, cost, and speed.
 - Manage customer interactions, promote science-based processes, and incorporate customer needs into tool improvements.
 - Partner with team members and customers to exercise judgment on appropriate analysis methods for various business requests.
 - Interact with and influence adjacent systems and tools, including those for long-term operating policies and daily capacity planning.
 - Blend scientific expertise with business acumen to deliver impactful solutions across the organization.


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