Data Scientist , Prime Video - Advertising
About The Position
Prime Video is a leading entertainment platform offering a wide range of premium content across various devices. The technology teams within Prime Video are dedicated to creating a top-tier digital video experience. As a member of the Prime Video team, you will have complete responsibility for the product, user experience, design, and technology necessary to deliver cutting-edge experiences. You will work on projects that are fast-paced, challenging, and diverse, with opportunities to experiment, take risks, and collaborate with talented individuals. The Prime Video Ads - Growth, Engagement and Monetization (GEM) team is specifically responsible for optimizing the ad experience for customers and determining the right pricing for advertisers for every stream, break, and impression. This includes owning the centralized decisioning layer, the situation-aware ad load system, the ML prediction platform, the long-term measurement framework, and the experimentation platform. We are seeking a customer-focused, solutions-oriented Data Scientist to develop and lead data-driven frameworks that assess the effectiveness of personalization, yield, and supply innovations for customers, advertisers, and the business. This role involves working on fast-paced, challenging projects that directly impact the viewing experience of hundreds of millions of customers on Prime Video.
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
- Experience with statistical models e.g. multinomial logistic regression
- Experience with statistical methods (e.g., A/B Testing, 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 large-scale streaming, ad delivery, and auction data sets.
- Design and implement end-to-end data science workflows from data acquisition and cleaning through model development, offline evaluation, A/B testing, and production deployment in partnership with product and engineering teams.
- Build, validate, and maintain the statistical models that support the roadmap including Supply tier classification and Supply Quality Index, ad tolerance and fatigue scoring, and propensity and disengagement prediction.
- Partner with product and economist teams to design hold out experiments to measure impact of Ad load on revenue and customer engagement; define north star metrics, power calculations, holdout structures, and promotion gates for every major lever.
- Support scalable, self-service analytics by building curated datasets for PVa product, ops, sales, and science covering supply, yield, CX, and advertiser diversification outcomes.
- Partner with product stakeholders and science peers to identify strategic, data-driven opportunities to improve the customer experience and advertiser results.
- 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)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
