Prime Video is shaping the future of digital video entertainment. Our vision is to provide the most comprehensive global video service that customers choose first and spend the most time engaged with. Our Amazon Prime subscription streaming service provides a broad selection of shows, movies and live sports included with customers’ subscription to Amazon Prime. With Transactional Video on Demand (TVOD) (Rent or Buy) and Channels (subscribe to premium channels such as HBO or Starz), we augment our proposition by giving customers immediate access to the broadest selection of video content available anywhere (nearly 200,000 titles), and we drive monetization opportunities for our business.
The Worldwide Marketplace Science team within Amazon Prime Video builds commercial optimization tools for our TVOD and Channels businesses. In this role, you will invent science and systems for TVOD and Channels, including ML-based pricing, personalized promotions, and subscription bundles, among others. You will work with a team of economists and machine learning scientists to design commercial products, and you will work with technology teams to productize and maintain the associated solutions.
We are looking for the next outstanding economist to join our interdisciplinary team of analysts, data scientists, economists, and engineers. The ideal candidate combines econometric acumen with strong business judgment. You have versatile modeling skills and are comfortable extracting insights from observational and experimental data. You translate insights into action through proofs-of-concept and partnerships with engineers and data scientists to productionize. You are excited to learn from and alongside seasoned analysts, scientists, engineers, and business leaders. You are an excellent communicator and effectively translate business ideas and technical findings into business action (and customer delight).
o Serve as a science / strategy advisor to global TVOD and Channels businesses and anticipate their economic modeling needs.
o Partner with business and finance teams to build models and decision frameworks for TVOD and Channels, such as:
-Foundational models for informed and repeatable decision-making
-Optimizing content life-cycling and pricing across lines of business
-Valuing portfolios of content
-Extending and translating existing subscription video frameworks to TVOD and Channels
· PhD in Economics or closely related field
· Strong background in statistics methodology, applications to business problems, and/or big data.
· Ability to communicate complex science concepts, methods, and results/insights to leadership, business stakeholders, and partners in an intuitive and effective way.
· Ability to work in a fast-paced business environment.
· Preferred specialties in Reduced Form Causal Analysis and Machine Learning.
· Hands on expertise with SQL and Python.