Sr. Data Scientist, Prime Video

Amazon • Seattle, WA

47d • Onsite

About The Position

Prime Video is a leading entertainment platform offering a wide range of premium content across various devices. The Prime Video Personalization and Discovery team is seeking a customer-focused, solutions-oriented Senior Data Scientist to develop and lead new data-driven frameworks. This role will focus on understanding the success of personalization and content discovery innovations for both users and the business. The Senior Data Scientist will be part of an embedded science team, working on fast-paced, challenging projects that influence the content millions of customers see on Prime Video. The ideal candidate will possess strong problem-solving and stakeholder communication skills, with the ability to balance technical rigor, delivery speed, and customer impact. Responsibilities include building cross-functional support, assessing business problems, defining metrics, and supporting iterative scientific solutions that align with long-term science roadmaps.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior