Data Scientist, LM Simulations Engineering, AMZL Simulations & Analytics Engineering
Job ID: 3171109 | Amazon.com Services LLC
Overview
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 will 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 will 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 will 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 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
Basic Qualifications
- 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 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)
Preferred Qualifications
- 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
Compensation & Benefits
The base salary range for this position is $136,000.00 - $184,000.00 USD annually. Your Amazon package will include sign‐on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Equal Opportunity Statement
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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