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
· Master's degree in Computer Science, Computer or Electrical Engineering, Mathematics, Physics, Statistics, Economics or a related field · Experience with data mining, and analytics techniques · Experience with various machine learning/statistical modeling data analysis tools and techniques (e.g. sklearn, tensorflow, or keras), and parameters that affect their performance · Experience in programming in R, Python, Scala or similar languages and maintaining code repositories in git · Experience with data visualization and presentation, turning complex analysis into insight· Excellent quantitative