Sr. Data Scientist, Prime Video

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 exclusive access to coverage of live sports. All customers regardless of whether they have a Prime membership or not, can access programming from subscriptions such as Apple TV, Peacock Premium Plus, HBO Max, FOX One, Crunchyroll and MGM+, as well as more than 900 free ad‑support (FAST) Channels, rent or buy titles, and 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.

We’ll look for you to bring your diverse perspectives, ideas, and skill‑sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

We are looking for a customer‑focused, solutions‑oriented Senior Data Scientist to build and guide new data‑driven frameworks to understand what makes new personalization and content discovery innovations successful for users and the business.

Key Job Responsibilities

• Use advanced statistical and machine learning techniques to extract insights from complex, large‑scale data sets
• Design and implement end‑to‑end data science workflows, from data acquisition and cleaning to model development, testing, and deployment
• Support scalable, self‑service data analyses by building datasets for analytics, reporting and ML use cases
• Partner with product stakeholders and science peers 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

Basic Qualifications

• 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
• 4+ years of data scientist experience
• Bachelor's degree
• Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

• 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

Equal Opportunity Employment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Compensation

Base salary range: USD 159,200.00 – 215,300.00 annually (USA, WA, Seattle). Final compensation will be determined based on experience, qualifications, and location. The package includes sign‑on payments and restricted stock units (RSUs).

Company

Amazon.com Services LLC

Job ID: A10374715