Senior Manager, Data Science and Analytics, Prime Video Personalization & Analytics
Amazon
Data Science
Seattle, WA, USA
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