Amazon

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 Sr Manager Data Science and Analytics to develop next-gen measurement and experimentation systems within Prime Video Personalization and Discovery. You'll lead an embedded science and business intelligence team driving projects across product and engineering teams that ultimately influence what millions of customers around the world see when the log into Prime Video.

The ideal candidate brings experience leading experiment-based measurement and business intelligence engineering systems, 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

Key job responsibilities

• Build and manage a team of Data Scientists, BI Engineers and Data Engineers
• Define and drive the multi-year vision for business intelligence, experimentation and measurability in 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, BI Engineers and review technical artifacts to ensure quality
• Stay up-to-date on the latest data science, measurability, AI tools, techniques, and best practices and help evangelize them across the organization

Basic Qualifications

• Bachelors' degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field
• 11+ years of BI + Data Science 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)
• Expertise with online experimentation systems
• Experience building data science, analytics and experimentation science capabilities and teams

Preferred Qualifications

• Masters Degree in Data Science or related field
• Experience designing and building large-scale online measurement systems
• 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 - 208,300.00 - 281,800.00 USD annually