Amazon Sr Applied Scientist Prime Video Marketing Tech 

United States, California 

980810705

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 24 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.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.
Key job responsibilities
As Sr. Applied Scientist on the Marketing Technology team, you will lead the Science efforts to maximize the impact of our marketing investments. You will help define the strategy and vision for our Science initiatives, and execute on that vision to develop state of the art models. This role requires an ability to work with huge amounts of highly granular data to build predictive models using advanced ML techniques. You will be responsible for bridging the experimental domain with the production domain by building robust and efficient computational pipelines to scale up models. You will ensure model performance for various use cases, including response prediction models for targeting optimizations and uplift models for incrementality optimizations. You will leverage data-driven decision-making and communicate effectively both verbally and in writing with leaders at all levels. As a leader on the team, you will take on ambiguous projects with a high degree of autonomy and visibility. You will deliver recommendations to senior executives and drive alignment across teams, functions, and organizations.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience building models for advertising and/or personalization.