Are you passionate about machine learning? Does the prospect of solving high impact business problems excite you? Do you want to be part of team building a new machine learning platform that processes billions of records a day in a scalable fashion using AWS technologies? Amazon's Finance Technology team is seeking a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading machine learning tools for Amazon's Finance organization. You will be working with trillions of financial transaction to solve real-world problems. You will design and run experiments, research new algorithms, and find new ways of solving complex and ambiguous problems in the finance space to service customers such as payments, treasury, and finance operations. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically
· MS/PhD in Computer Science, Bioinformatics, Statistics, Applied Mathematics, or a related field. · 2+ years of Post-doc or hands-on experience in artificial intelligence, predictive modeling, machine learning or large data analysis · Algorithm and model development experience for large-scale applications · Proficiency in at least one of the following languages: Python/Perl, R/Matlab, Java, C/C++, Scala · Communication and data presentation skills · Problem solving ability· A PhD in Computer Science, machine learning, Statistics, Operational research · 3+ years of industry experience in predictive