Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of eCommerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats? Our mission in Transaction Risk Management Services (TRMS) is to make Amazon.com the safest place to transact online. TRMS safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, TRMS designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. As a Data Scientist in TRMS, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction, developing scalable
· Master's Degree in any quantitative discipline such as Statistics, Mathematics, Quantitative Finance or Operational Research, Graduate Degree preferred · At least 3-5 years of experience working in an Analytics / Data Science environment · Experience in working with databases and SQL in a business environment · Demonstrated use of scripting languages such as R, Python and query languages such as SQL · Prior experience in design and execution of analytical projects · Worked extensively in large scale data bases and data warehouses · Previous experience deploying Machine Learning-based Risk algorithms·