Amazon Sr Data Scientist Prime Video - Shopping 

United States, Washington, Seattle 

430146948

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 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
· Build end-to-end data pipelines to ingest and transform data from different types of data sources and systems; from traditional ETL pipelines to event data streams
· Utilize data from disparate data sources to build meaningful datasets for analytics, reporting and ML use cases
· Evaluate and implement various big-data technologies and solutions (e.g. Redshift, Hive/EMR, Spark, SNS, SQS, Kinesis) to optimize processing of extremely large datasets
· Understand and analyze business processes, logical data models and relational database implementations
· Write high performing and optimized SQL queries
· Execute research projects, and generate practical results and recommendations
· Design and implement automated data processing solutions and data quality controls

- Bachelor's degree
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 5+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team