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

Amazon • Bellevue, WA

6h

About The Position

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.

Requirements

• 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)

Nice To Haves

• 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

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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level