Description

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. 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 exclusive access to coverage of live sports. All customers regardless of whether they have a Prime membership or not, can access programming from subscriptions such as Apple TV, Peacock Premium Plus, HBO Max, FOX One, Crunchyroll and MGM+, as well as more than 900 free ad-support (FAST) Channels, rent or buy titles, and enjoy even more content for free with ads.

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 Data Scientist to help build new data-driven frameworks to understand what makes new personalization and content discovery innovations successful for users and the business. You'll be part of an embedded science team on projects that are fast-paced, challenging, and ultimately influence what millions of customers around the world see when the log into Prime Video.

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.

Key job responsibilities
- Use advanced statistical and machine learning techniques to extract insights from complex, large-scale data sets
- Design and implement end-to-end data science workflows, from data acquisition and cleaning to model development, testing, and deployment
- Support scalable, self-service data analyses by building datasets for analytics, reporting and ML use cases
- Partner with product stakeholders and senior science peers to identify strategic data-driven opportunities to improve the customer experience
- 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