Amazon
Applied Scientist, BRP (Buyer Risk Prevention)
Amazon, Seattle, Washington, United States, 98101
Amazon Buyer Risk Prevention (BRP) Machine Learning Group
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment? If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day. Key Job Responsibilities
Use machine learning and statistical techniques to create scalable risk management systems. Learn and understand large amounts of Amazon's historical business data for specific instances of risk or broader risk trends. Design, development and evaluation of highly innovative models for risk management. Work closely with software engineering teams to drive real-time model implementations and new feature creations. Work closely with operations staff to optimize risk management operations. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Track general business activity and provide clear, compelling management reporting on a regular basis. Research and implement novel machine learning and statistical approaches.
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment? If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day. Key Job Responsibilities
Use machine learning and statistical techniques to create scalable risk management systems. Learn and understand large amounts of Amazon's historical business data for specific instances of risk or broader risk trends. Design, development and evaluation of highly innovative models for risk management. Work closely with software engineering teams to drive real-time model implementations and new feature creations. Work closely with operations staff to optimize risk management operations. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Track general business activity and provide clear, compelling management reporting on a regular basis. Research and implement novel machine learning and statistical approaches.