Data Scientist II, Rapid & Rural Logistics; R2L Analytics

Team Overview

The R2L team is responsible for building the next generation supply chain for Amazon’s world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub‑Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you’ll be serving our customers in as fast as 30 minutes!

• Work with product managers, engineers, other scientists, and leadership to identify and prioritize complex problems.
• Interview stakeholders to gather business requirements and translate business problems into data science or analytical problems.
• Design, develop, and evaluate highly innovative statistics and ML models.
• Guide and establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
• Proactively seek to identify business opportunities and insights and provide solutions to shape key business processes and policies based on a broad and deep knowledge of Amazon data, industry best‑practices, and work done by other teams.

In this role, you will be a technical expert with significant scope and impact. You will work with Product and Supply Chain Managers, Business Intelligence Engineers, System Developers and other Scientists, to develop models that solve a wide range of complex and ambiguous business problems, with the main goal to improve customer experience, availability of products and reduce supply‑chain cost.

• Master’s degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in STEM.
• 2+ years of data scientist experience.
• 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.).
• 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect performance.
• 1+ years of experience working with or evaluating AI systems.
• Experience applying theoretical models in an applied environment.
• Experience effectively communicating complex concepts through written and verbal communication.

• Ph.D. in 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 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.

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

Base salary range: USD $136,000 – $184,000 annually (USA, WA, Bellevue). Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!