The Payments Acceptance & Experience (PAE) organization makes paying on Amazon possible for millions of around the world. The PAE Data team is a cross functional team of data engineers, scientists, and business intelligence professionals that are constantly looking to improve data availability and accessibility for a variety of use cases. Our team provides a full-stack data solution - everything from building data capture mechanisms into software services to building business forecasts and deploying machine learning (ML) models. We are looking for motivated individuals to contribute immediately to our team in Seattle, Washington.
Using Amazon's large-scale computing resources you will ask research questions about customer behavior, build models to generate recommendations, and run these models directly on the retail website. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit customers and the retail business and you will measure the impact using scientific tools. We are looking for passionate, hard-working, and talented Applied scientist who have experience building mission critical, high volume applications that customers love. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of cutting edge products used every day, by people you know.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.