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Data Scientist , Prime Video - Advertising
Amazon
On-sitemidPosted May 14, 2026
About the Role
Use advanced statistical and machine learning techniques to extract insights from large-scale data, design and implement end-to-end data science workflows, and build statistical models to optimize ad experiences for Prime Video.
Requirements
Seeks a customer-focused Data Scientist to apply advanced statistical and machine learning techniques, design experiments, and build models to optimize ad experiences and measure impact for Prime Video.
Full Job Description
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available 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 series and movies; licensed fan favorites; and programming from Prime Video subscriptions such as Apple TV+, HBO Max, Peacock, Crunchyroll and MGM+. All customers, regardless of 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.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
As a Prime Video team member, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!
The Prime Video Ads - Growth, Engagement and monetization (GEM) team is responsible for deciding for every stream, every break, every impression what the right ad experience is for the customer and the right price for the advertiser. We own the centralized decisioning layer, the situation-aware ad load system, the ML prediction platform, the long-term measurement framework, and the experimentation platform that gates every change to production.
We are hiring a customer-focused, solutions-oriented Data Scientist to build and guide data-driven frameworks that determine which personalization, yield, and supply innovations are working for customers, advertisers, and the business. You will be embedded on projects that are fast-paced, challenging, and directly influence what hundreds of millions of customers see when they watch Prime Video.
Key job responsibilities
- 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
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
As a Prime Video team member, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!
The Prime Video Ads - Growth, Engagement and monetization (GEM) team is responsible for deciding for every stream, every break, every impression what the right ad experience is for the customer and the right price for the advertiser. We own the centralized decisioning layer, the situation-aware ad load system, the ML prediction platform, the long-term measurement framework, and the experimentation platform that gates every change to production.
We are hiring a customer-focused, solutions-oriented Data Scientist to build and guide data-driven frameworks that determine which personalization, yield, and supply innovations are working for customers, advertisers, and the business. You will be embedded on projects that are fast-paced, challenging, and directly influence what hundreds of millions of customers see when they watch Prime Video.
Key job responsibilities
- 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