The Payments Acceptance and 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
· MS in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field or a BS with 4+ years of relevant work experience · Computer Science fundamentals in data structures · Computer Science fundamentals in algorithm design, problem solving, and complexity analysis Proficiency in, at least, one modern programming language such as C, C++, Java, or Perl · Experience with AWS technologies · 4+ years professional experience in predictive modeling and analysis · Experience with Python, R, MATLAB or similar scripting language · Strong communication and data presentation