Do you want to join an innovative team of scientists who use machine learning and statistical techniques to keep Amazon the safest and most trusted place to shop online? Do you want to build advanced data pipelines and algorithmic systems that help manage the trust and safety of millions of transactions every day? Are you excited by the prospect of analyzing terabytes of data and create state-of-art systems to solve real world problems? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Amazon Buyer Abuse Team.
* Build data pipelines to feed Machine Learning models for real-time transaction processing. * Work closely with data science and research science teams to drive R&D capabilities. * Analyze and understand large amounts of Amazon's historical business data for specific instances of risk or broader risk trends * Work closely with software engineering teams to drive real-time model implementations * Work closely with Scientists to explore new data sources and create new model feature * Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation * Track general business activity and and run and evaluate A/B tests of new features
Amazon is a company operating a marketplace for consumers, sellers, and content creators.