Data Scientist, Prime Video Amazon
Seattle, WA

Job Description

Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contribute to customer loyalty and lifetime value. Prime Video is used daily by a massive audience on Amazon's websites and through a variety of devices including the Kindle Fire, game consoles, smart TVs and Blu-ray players. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of videos. Movies range from new releases to classic favorites, and Prime Video offers major television episodes, entire seasons, or even day after air TV.

The Prime Video Content Research team uses machine learning, econometrics, and data science to optimize Amazon's streaming-video catalogue, driving customer engagement and Prime member acquisition. We generate insights to guide Amazon's digital-video strategy, and we provide direct support to the content-acquisition process. We use detailed customer behavioral data (e.g. streaming history) and detailed information about content (e.g. IMDb-sourced characteristics) to predict and understand what customers like to watch.

We are seeking a truly innovative Data Scientist to measure the benefit of Prime Video and optimize the content portfolio. As consumers increasingly consume digital video, we need to make agile decisions based on what content appeals to our customers. As an Data Scientist on the Video Content Research team at Amazon, you will have the opportunity to work on one of the world's largest consumer data sets and influence the long term evolution of our analytics capability.

You will be responsible for building models that measure and predict the value that the business creates for our customers and for Amazon's extensive ecosystem. This role requires a team member with strong quantitative modeling skills and the ability to apply statistical/machine learning methods to large amount of individual level and title level data. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment.

On our team you will work with a diverse scientific team including computer scientists and economists as well as other data scientist to build statistical models using world-class data systems and partner directly with the business to implement the solutions.