Senior Data Scientist, NAS Discovery and Returns

Do you thrive in generating actionable insights at scale from complex datasets Can you use data to look around the corners of a business and guide leaders on impactful business decisions The Shop and Keep Data and Science team builds internet-scale shopping intelligence that helps Amazon customers find what they want with ease and give them the right information to make confident and lasting purchases. Our work powers customer experiences across surfaces including Search Product Detail Pages Recommendations and Ads.

We are looking for an experienced Senior Data Scientist to lead high visibility science initiatives that guide the business and ensure quality of our shopping intelligence signals. This role will focus on Data Science and Analytics related to signal quality evaluation impact measurement and delivering business insights. The role requires deep technical skills strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support. As a member of this team the role will dive deep into our data and leverage their strong skills in measurement science LLMs predictive and prescriptive models data ETLs dashboards and visualization to support business strategy and deliver goals with executive visibility.

You must have the ability to communicate effectively across multiple technical and non-technical business units as well as across other geographies. Successful members of this team collaborate effectively to solve data problems are highly organized and detail-oriented implement new solutions for complex problems and deliver successfully against highest standards. The ideal candidate will be a highly motivated individual that seeks to tell the story of the data with little direction or supervision.

Key job responsibilities
Leverage state-of-the-art measurement science approaches including LLMs to develop evaluation frameworks for a variety of signals and customer experiences.
Support the development of continuously-evolving business analytics and data models own the quantitative analysis of the performance of our features.
Continually develop new ways of using data to look around the corners and guide the development of shopping intelligence signals.
Use LLMs machine learning data mining and statistical techniques to design/run experiments that solve complex business problems.
Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation.
Develop a deep understanding of e-commerce metrics reporting tools and data structures in order to identify and drive resolution of issues provide actionable intelligence with existing metrics or identify develop and propose new metrics dashboards scorecards or new tools.
Develop relationships and processes with partner teams PMs/TPMs engineers and other functional teams to identify and address reporting issues.
Manage and develop advanced analytical tools that align and simplify monthly business reviews annual planning operations and forecasting processes based on the needs of the business and stakeholders.

About the team
The Shop and Keep Data and Science teams mission is to build shopping intelligence that helps Amazon customers find what they want with ease and give them the right information to make confident and lasting purchases. Through our personalized discovery and product evaluation signals we assist customers in their shopping missions as they navigate surfaces. We also share a selection of signals with partner teams and sellers to establish closed loop mechanisms and drive improvements in our signals customer outcomes and Amazons product selection.

- 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
- 4 years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Bachelors degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
- Experience communicating complex information and solutions to senior stakeholders and influencing decisions or experience communicating results to senior leadership

- 2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Experience with unstructured textual data
- Experience in defining and creating benchmarks for assessing GenAI model performance

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 CA Sunnyvale - 183000.00 - 247600.00 USD annually
USA WA Seattle - 159200.00 - 215300.00 USD annually