Principal Data Scientist - Prime Video Personalization

Job ID: 849581 | Services LLC


Principal Data Scientist – Prime Video Personalization

Prime Video is changing the way people watch movies and TV shows, with hundreds of thousands of titles available to stream and download on all your favorite devices.

The Prime Video Personalization (AVP) team is looking for a Data Scientist who will analyze customer behavior, title catalog information and Personalization algorithms and provide direction to the Personalization Product and Engineering teams, to help customers connect with content they want to watch.

You will work closely with Product Managers and SDMs but also ML scientists, economists and finance within AVP and the wider Digital organization. You will influence how AVP targets and measure success.

As a member of the Product Intelligence team (within Prime Video Personalization team) you will spend your time as a hands-on Data Scientist practitioner and thought leader. You will source much of your own data for modelling, and guide junior analysts in data modeling and provide support to the models and insights you develop. This role requires you to:
· Analyze and solve business problems at their root, stepping back to understand the broader context.
· Disambiguate problems and develop new metrics for identifying and tracking success
· Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modelling packages like R and python to build customer models.
· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
· Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation


· MSc in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
· 7+ years of practical experience applying DS to solve complex problems;
· Experience statistics packages such as R, SAS or Python;
· SQL experience
· Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives. Defining and identifying success
· Strong fundamentals in problem solving
· Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.


· 10+ years of practical experience applying DS to solve complex problems;