Amazon Sr Data Scientist Brand & Digital Intelligence Prime Video 

United States, California 

440048381

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.You are a strategic-minded professional with a proven track record of using machine learning and statistical approaches to drive business outcomes. You will be expected to work on numerous aspects of Machine Learning such as feature engineering, predictive modeling, probabilistic modeling, hyper-parameter tuning, scalable inference methods and reinforcement learning.
Key job responsibilities- Proactively and independently work with stakeholders to construct use cases and associated standardized outputs- Actively manage the timeline and deliverables of projects
- Participate in regular leadership meetings and communicate roadblocks to stakeholders and propose solutions
About the team
Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.Culver City, CA, USA

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience
- 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 6+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
- Experience managing data pipelines
- Experience working with social and brand tracking data
- Experience documenting modeling for technical and business leaders