Data Scientist II, Rapid & Rural Logistics (R2L) Analytics

The R2L team is responsible for building the next generation supply chain for Amazons 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 youll be taking part in serving our customers in as fast as 30 minutes!

We are looking for a Data Scientist to join our team and solve some of the most complex business problems!

Key job responsibilities
- 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.

A day in the life
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 improve availability of products and reduce supply chain cost.

A successful Data Scientist will have bias for action needed in a startup environment with great leadership skills proven ability to build and manage medium-scale modeling projects identify data requirements build methodology and tools that are statistically grounded. It will be a person who enjoys diving deep into data doing analysis discovering root causes and designing long-term scientific solutions. We are seeking someone who can thrive in a fast-paced high-energy and fun work environment where we deliver value incrementally and frequently. We look for individuals who know how to deliver results and show a desire to develop themselves their colleagues and their career.

Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment.

The benefits that generally apply to regular full-time employees include:
- Medical Dental and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you!

At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!

About the team
The R2L team is responsible for building the next generation supply chain for Amazons 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 youll be taking part in serving our customers in as fast as 30 minutes!

- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- 2 years of data scientist experience
- 5 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
- 1 years of working with or evaluating AI systems experience
- Experience applying theoretical models in an applied environment
- Experience effectively communicating complex concepts through written and verbal communication

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. 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 WA Bellevue - 136000.00 - 184000.00 USD annually