Amazon Sr Data Scientist Prime Video - Shopping 

United States, Washington, Seattle 

348605270

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.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
· Leverage advanced statistical and machine learning techniques to extract insights from complex, large-scale data sets
· Develop and optimize models to improve the Prime Video Shopping experience
· Design and implement end-to-end data science workflows, from data acquisition and cleaning to model development, testing, and deployment
· Utilize data from disparate data sources to build meaningful datasets for analytics, reporting and ML use cases
· Partner with product and business stakeholders to identify strategic data-driven opportunities to improve the customer experience
· Communicate findings, conclusions, and recommendations to technical and non-technical stakeholders
· Stay up-to-date on the latest data science tools, techniques, and best practices and help evangelize them across the organization

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 4+ years of data scientist experience
- 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
- 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
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)