Data Scientist , Prime Video - Advertising

Prime Video is a premier entertainment destination that provides a vast collection of premium programming in one app accessible across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios‑produced titles, licensed fan favorites, and programming from Prime Video subscriptions such as Apple TV+, HBO Max, Peacock, Crunchyroll and MGM+.

All customers, whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

• 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 the impact of ad load on revenue and customer engagement; define north‑star metrics, power calculations, hold‑out 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.

• 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).
• 4+ years of data scientist experience.
• Experience with statistical models such as multinomial logistic regression.
• Experience with statistical methods (e.g., A/B testing, regression).

• 2+ years of data visualization experience using AWS Quick Sight, Tableau, R Shiny, etc.
• Experience managing data pipelines.
• Experience as a leader and mentor on a data science team.

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

Amazon offers a comprehensive benefits package including health insurance (medical, dental, vision, prescription, basic life and AD&D insurance and optional supplemental life plans, Employee Assistance Program, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

USA, CA, Culver City – $ – $ USD annually

USA, NY, New York – $ – $ USD annually

USA, VA, Arlington – $ – $ USD annually

USA, WA, SEATTLE – $ – $ USD annually