Come build the future of entertainment with us. Are you interested in shaping the future of movies and television?
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide.
The Video Content Research team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. We are seeking a Data Scientist to develop scalable models that uncover key insights into how, why and when customers engage with Prime Video marketing.
Key job responsibilities
In this role you will work closely with business stakeholders and technical peers (data scientists, economists and engineers) to develop causal marketing measurement models, analyze experiments and investigate customer, marketing and content related factors that drive engagement with Prime Video. You will create mechanisms and infrastructure to deploy complex models and generate insights at scale. You will have the opportunity to work with large datasets, work with AWS to build and deploy machine learning models that impact Prime Video's marketing decisions.
About the team
The Video Content Research team uses machine learning, econometrics, and data science to optimize Amazon's marketing and content investments. We generate insights for Amazon's digital video strategy, partnering with finance, marketing, and content teams. We analyze customer behavior on Prime Video (marketing impressions, clicks on owned channels) to identify optimization opportunities.
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience as a data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.