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# Sr Data Scientist, Seller Partner Trust Analytics

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Amazon Web Services, Data Analysis, Data Visualization, Query Languages, R (Programming Language), Python (Programming Language), Logistic Regression, MATLAB, Machine Learning, Mathematical Software, Power BI, SAS (Software), Software Deployment, SQL Databases, Tableau (Software), Scripting, Data Analytics, Data Pipelines
- **Published:** July 8, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27831537/Sr-Data-Scientist-Seller-Partner-Trust-Analytics-Washington-Seattle-7375

## About the Role

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

Preferred Qualifications

 - 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

## Description

As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online - providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional business analyst to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel

Sellers' trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by diving deep into how we measure our progress and helping to identify and prioritize key areas of focus. Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems.

The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient & automated processes. They will set the vision, strategy, and roadmap, and work alongside with stakeholders in the organization to make it happen. They know and love working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. They are analytical and creative, and don't quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results., Use advanced statistical and machine learning techniques to extract insights from large-scale streaming, ad delivery, and auction data sets.

 - Design and implement end-to-end data science workflows from data acquisition and cleaning through model development, offline evaluation, A/B testing, and production deployment in partnership with product and engineering teams
 - Build, validate, and maintain the statistical models that support the roadmap including Supply tier classification and Supply Quality Index, ad tolerance and fatigue scoring, and propensity and disengagement prediction
 - Partner with product and economist teams to design hold out experiments to measure impact of Ad load on revenue and customer engagement; define north star metrics, power calculations, holdout structures, and promotion gates for every major lever.
 - Support scalable, self-service analytics by building curated datasets for PVa product, ops, sales, and science covering supply, yield, CX, and advertiser diversification outcomes.
 - Partner with product stakeholders and science peers to identify strategic, data-driven opportunities to improve the customer experience and advertiser results.
 - Communicate findings, conclusions, and recommendations to technical and non-technical stakeholders
 - Stay up-to-date on the latest data science tools, techniques, and best practices and help evangelize them across the organizatio


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