Amazon Sr Applied Scientist Prime Video Marketing Tech 

United States, California 

980810705

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.