Senior Applied Scientist – Engagement Automation
Company Name:-
Amazon.com Services LLC
Job Location:-
Seattle, WA
Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionPhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
3+ years of experience in building machine learning models for business application
Experience programming in Java, C++, Python or related language
Masters in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
5+ years of practical experience applying ML to solve complex problems;
Algorithm and model development experience for large-scale applications;
Experience using Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language;
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
About Prime Video: Prime Video is changing the way people watch movies and TV shows, offering more than 150,000 new release movies, next-day television shows and classic favorites available to rent or purchase on-demand, and more than 38,000 titles available to customers with an Amazon Prime membership.
We believe so deeply in the mission of our video offering that we’ve launched our own Amazon Studios to create Original and Exclusive content.
With an Amazon Prime membership, customers can have unlimited access to thousands of titles for no additional charge, including popular and award-winning Prime Originals like Jack Ryan, Fleabag and The Marvelous Mrs.
Maisel.
About the team: The vision for the engagement automation team is to inspire our customers to engage with all that Prime Video brand has to offer.
To achieve our vision, we create product and technology solutions that drive incremental activation and engagement of PV customers worldwide.
We obsess over finding effective ways to reach active and inactive customers with relevant and timely content that drives traffic to the PV experience.
Using smart rules and machine learning we generate relevant, timely, and personalized engagement opportunities via a broad portfolio of both in-app and out-of-app experiences, on a fully automated basis.
About the role: We seek an experienced Applied Scientist to be part of the Engagement Automation
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