Amazon aims to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon has invested in a world class Amazon Last Mile operation. We are looking for a dynamic, resourceful, and organized Research Scientist to join Amazon Last Mile operations. Amazon Flex (https://flex.amazon.com/) works directly with independent contractors – called delivery partners – to make deliveries to our customers, and Amazon Delivery Service Providers (https://logistics.amazon.com/) program helps entrepreneurs build local delivery operations delivering Amazon packages. As part of the Last Mile Science and Technology organization, you’ll partner closely with Science, Product, and Program teams to lead initiatives in the fraud space, using statistical best practices to learn from multiple data sources. You will be expected to be a subject matter expert in quantitative analysis
· PhD in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) · 5+ years of experience working in anomaly detection or sparse signal detection · High degree of SQL proficiency – skilled in extracting and managing data from multiple sources · Statistical expertise with a high degree of proficiency in at least one statistical analysis/statistical computing platform (R, Python, SAS, etc.) · Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, and the ability to accurately determine cause and effect