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# Data Scientist, LM Simulations Engineering, AMZL Simulations & Analytics Engineering

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Salary:** $136,000.0 - $184,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Artificial Neural Networks, Cluster Analysis, Query Languages, Perl (Programming Language), R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, Mathematical Software, SAS (Software), SQL Databases, Scripting, Delivery Pipeline, Optimization Algorithms, Data Analytics
- **Published:** July 23, 2026
- **Apply:** https://dejobs.org/x/x/5F389C4F72F94D67BF9265A4B9D68071/job/

## About the Role

* 2+ years of data scientist experience
 * 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 * 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
 * Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM), * Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
 * Knowledge of machine learning concepts and their application to reasoning and problem-solving
 * Experience in Python, Perl, or another scripting language
 * Experience in a ML or data scientist role with a large technology company
 * Experience in defining and creating benchmarks for assessing GenAI model performance
 * Experience working on multi-team, cross-disciplinary projects
 * Experience applying quantitative analysis to solve business problems and making data-driven business decisions
 * Experience effectively communicating complex concepts through written and verbal communication

## Description

Amazon's Last Mile Simulation and Analytics Team is seeking a Data Scientist to help design and optimize the world's most complex delivery network. You'll partner with process engineers, design engineers, simulation scientists, and innovation teams to solve high-impact problems across both greenfield and brownfield initiatives.

In this role, you'll own the Data Science/ML roadmap-developing statistical and machine learning models, designing global experiments, and discovering new ways to enhance the customer experience. You'll translate ambiguous business challenges into mathematical models, contribute to discrete event simulations, and deliver solutions that scale. Success requires thriving in a fast-paced, collaborative environment while aligning research with Amazon's strategic priorities.

Key job responsibilities

Design and execute large-scale experiments to uncover insights from complex datasets

Build scalable, automated pipelines for data analysis, model development, validation, and deployment

Develop advanced ML solutions including regression, clustering, simulation, neural networks, and optimization algorithms

Partner with cross-functional teams to implement data-driven strategies and measure impact

Validate findings against alternative approaches and key performance indicators

Build stakeholder relationships to drive improvements and prioritize customer needs


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