Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contribute to customer loyalty and lifetime value. Prime Video is used daily by a massive audience on Amazon's websites and through a variety of devices including the Kindle Fire, game consoles, smart TVs and Blu-ray players. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of videos. Movies range from new releases to classic favorites, and Prime Video offers major television episodes, entire seasons, or even day after air TV. The Prime Video Content Research team uses machine learning, econometrics, and data science to optimize Amazon’s streaming-video catalogue, driving customer engagement and Prime member acquisition. We generate insights to guide Amazon’s digital-video strategy, and we provide direct support to the content-acquisition process. We use detailed customer
· PhD in Economics · 2–3+ years of experience in industry, consulting, government, or academic research · Strong causal estimation based on observational data · Strong technical communication to non-technical audience · Experience in optimization and microeconomic modeling · Experience working with very large real-world data sets and building scalable models from big data · Expertise in SQL and a programmatic scripting language for analysis (e.g. Python / R)· Applicants with considerably more experience, including mid-career, are also strongly encouraged · Strong background in statistics methodology,