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Principal Data Scientist, Prime Video

Prime Video & Amazon MGM Studios
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States

About

Description Interested in influencing what customers around the world see when they turn on Prime Video? The Prime Video Personalization and Discovery team matches customers with the right content at the right time, at all touch points throughout the content discovery journey. We are looking for a customer‑focused, solutions‑oriented Principal Data Scientist to develop next‑gen measurement and experimentation systems within Prime Video Personalization and Discovery. You'll be part of an embedded science team driving projects across product and engineering teams that ultimately influence what millions of customers around the world see when they log into Prime Video. The ideal candidate brings experience building experiment‑based measurement systems at scale, excellent 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 for high‑quality, rigorous measurement, assess business problems, and support iterative scientific solutions that balance short‑term delivery with long‑term science roadmaps. Key Job Responsibilities
Define and drive the multi‑year vision for experiment‑based measurement systems within Prime Video Partner with product stakeholders and science peers to identify strategic data‑driven opportunities to improve the customer experience Communicate findings, conclusions, and recommendations to technical and non‑technical business leaders across Prime Video Educate senior leaders about and advocate for high‑quality measurement as an input to data‑driven decisions Mentor junior scientists and review technical artifacts to ensure quality Stay up‑to‑date on the latest data science tools, techniques, and best practices and help evangelize them across the organization
Basic Qualifications
Bachelor’s degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field 11+ years of data scientist experience Competency in data querying languages (e.g. SQL) and scripting languages (e.g. Python) Experience with statistical models (e.g., logistic regression, supervised learning approaches) Experience with online experimentation systems
Preferred Qualifications
Master’s Degree in Data Science or related field Experience designing and building large‑scale online measurement systems Experience establishing Bayesian decision frameworks for business decisions Excellent communications with non‑technical executive audiences
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, WA, SEATTLE - 189,400.00 - 256,200.00 USD annually. Company - Amazon.com Services LLC Job ID: A10408267 #J-18808-Ljbffr
  • Seattle, Washington, United States

Languages

  • English
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