Applied Scientist / Machine Learning - Twitch Prime Fraud Prevention Amazon
Seattle, WA

Job Description

Twitch Prime (TP) aims to become the largest and best-loved premium subscription program for gamers worldwide. We deliver free games, in-game content, and a Twitch channel subscription to our members every month… plus all the benefits of Amazon Prime! Join us to help define what else we have in store!

TP Business Intelligence and Fraud Prevention is seeking a highly-collaborative Applied Scientist who is experienced, resourceful, and able to work independently under tight time constraints. The ideal candidate will use statistical and machine learning techniques to create scalable systems and work closely with software engineering to drive real-time model implementations and deployable automated fraud and abuse solutions. If you have these traits and are excited about making a big impact in the game industry, we're looking for you!

Key Responsibilities:

* Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
* Write secure, stable, testable, and maintainable code alongside our team of SDEs
* Suggest quick mitigation measures and friction
* Monitor abuse vectors and impact
* Curate ground truth and train detection models
* Provide clear, compelling technical fraud roadmap business recommendations
* Research and implement novel machine learning and statistical approaches