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# Sr. Data Scientist , Prime Video - Advertising

- **Company:** Amazon.com, Inc.
- **Location:** Arlington, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Machine Learning, Software Deployment, Software Engineering, Data Analytics, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-data-scientist-prime-video-advertising-arlington-va--d90a4923-2c64-442e-b07f-b2a07d73c0e1

## About the Role

Data Science, Advertising, Rentals, Documentaries, Sports, Apple, Film, Software Engineering, Digital Video, Customer Experience

## Description

* 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 organization