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 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 behavioral data (e.g. streaming history) and detailed information about content (e.g. IMDb-sourced characteristics) to predict and understand what customers like to watch.
We are looking for an economist to build innovative systems for measuring the efficacy of Prime Video marketing. For example, we need to understand how our advertising campaigns for Amazon Originals like The Boys have attracted new Prime members. Key responsibilities of this role include the following:
· Building scaled econometric models for measuring marketing efficacy using various measures of engagement
· Constructing optimization and support tools on top of econometric models to help Prime Video choose the right level and mix of advertising for a broad portfolio of content
· Collaborating with machine-learning scientists to integrate marketing measurement into multiple Prime Video projection models
· Providing technical leadership to a diverse group of scientists and data experts
· Creating and tracking accuracy and performance metrics
· Helping build production systems that take inputs from multiple models and support decision making
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us
· PhD in economics, statistics, quantitative marketing, or related field.
· 10+ years of professional experience working with large data sets, understanding of statistical analysis, modeling techniques, data mining and business and/or public policy analysis.
· Strong publication and presentation record in top-tier economic, public policy, statistical, or ML publications and conferences.
· Excellent written and oral communication skills with technical, business, and public policy people, and ability to speak at a level appropriate for the audience.
· Experience with prototyping in a scripting language such as STATA, R, and python.
· Experience with machine-learning techniques.
· Programming and prototyping skills in a lower level language such as Python, Java, or C++
· Experience with big data technologies such as Spark and Hadoop
· Experience with scaled econometric or data-science development
· Familiarity with marketing measurement