Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?
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. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.
We are seeking a Data Scientist to develop scalable models that uncover key insights into how, why and when customers engage with content on Prime Video.
Key job responsibilities
In this role you will work closely with business stakeholders and other data scientists to develop predictive models, forecast key business metrics, dive deep on the customer and content related factors that drive engagement and 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 and forecasting models while making a significant impact on how Prime Video makes content investment and selection decisions.
BASIC 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
- Knowledge of machine learning and forecasting models and experience deploying them in commercial settings
PREFERRED QUALIFICATIONS
- PhD degree in machine learning, operational research, computer science, statistics, applied mathematics or a related field; or equivalent experience
