Data Science Manager, Prime Video

Job  |  Services LLC

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 add‑on subscriptions such as Apple TV+, Max, 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 technologist, 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!

We are looking for a Data Scientist Manager (DSM) to lead an embedded science team supporting experiment design, evaluation, and decision‑making within Prime Video Personalization and Discovery.

The ideal candidate brings strong problem‑solving skills, stakeholder communication skills, and the ability to balance technical rigor with delivery speed and customer impact. You will build cross‑functional support within Prime Video, assess business problems, define metrics, and support iterative scientific solutions that balance short‑term delivery with long‑term science roadmaps.

• Manage and develop data scientists specializing in experimentation and customer analytics
• Own customer segmentation models to understand diverse streaming behaviors and forecast how customers respond to personalization changes
• Partner closely with product managers to translate business questions into actionable science projects
• Influence product roadmaps through data‑driven insights on customer behavior patterns

• 5+ years of scientists or machine learning engineers management experience
• Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• Knowledge of Python or R or other scripting language

• Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
• Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 (Use the "Apply for this Job" box below).

for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $142,300/year in our lowest geographic market up to $272,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company.

Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit

This position will remain posted until filled. Applicants should apply via our internal or external career site.

Posted: October 2, 2025 (Updated 1 day ago)