Data Scientist, Prime Video Sports

Come build the future of entertainment with us. Are you interested in helping shape the future of movies and television Do you want to help define the next generation of how and what Amazon customers are watching

Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you please read on.

We are looking for a Data Scientist to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield cutting-edge and large-scale engineering and big-data challenges and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.


Key job responsibilities
- Design and deliver big data architectures for experimental and production consumption between scientists and software engineering.
- Develop the end-to-end automation of data pipelines making datasets readily-consumable by science and engineering teams.
- Create automated alarming and dashboards to monitor data integrity.
- Create and manage capacity and performance plans.
- Act as the subject matter expert for the data structure and usage.

- Experience with data scripting languages (e.g. SQL Python R or equivalent) or statistical/mathematical software (e.g. R SAS Matlab or equivalent)
- Experience as a data/research scientist statistician or quantitative analyst in an internet-based company with complex and big data sources

- Knowledge of statistical packages and business intelligence tools such as SPSS SAS S-PLUS or R
- Experience with clustered data processing (e.g. Hadoop Spark Map-reduce and Hive)

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