Role Overview
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 and Qualifications
* 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)
Preferred Qualifications
* 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)
Benefits and Company
Come build the future of entertainment with us. Prime Video is a premium streaming service that offers customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content as well as exciting live sports events. Prime Video is a fast‑paced, growth business available in over 200 countries and territories worldwide.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. 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.
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