Want to stop fraudsters and make a direct multi-million dollar impact to Amazon's bottom line? Come join the AWS Fraud Prevention team and help us fight fraud and financial crimes.
The mission of the Fraud Prevention Team is to keep the AWS platform a safe and trusted place for our customers and partners worldwide and for all services. Fraudsters are continually looking for new ways to steal from companies. We invent new techniques to detect and stop these bad actors, leveraging the latest in modeling (ML, AI) and enforcement.
As a Research Scientist at Amazon, you’ll be leading us in making critical and time sensitive decisions that impact customers. You’ll use your machine learning chops to build solutions that can scale and solve the business problem; it's an exciting application of data science to solve behavioral problems. It’s fast paced, data driven, and impactful. We are raising the bar for fraud prevention in the Cloud. This is a high impact opportunity, where a successful candidate will have the ability to shape and raise the bar on fraud prevention. The position requires deep expertise in Statistical and Machine Learning models, and the ability to write queries data extraction and analysis. You should have excellent communication skills and be able to work with stakeholders at all levels. Above all you should be a passionate, hard-working and creative person who loves business, loves solving difficult problems and doesn’t mind getting involved in the details.
Qualifications MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, Operations Research or in another highly quantitative field 3+ years of hands-on industry experience working with large scale ML problems Track record of delivering large analytical solutions with big business impact 6+ years with Statistical Analysis and Modeling tools like R, Python, Matlab or similar Skilled in various Statistical and Machine Learning algorithms Able to write SQL scripts for analysis and reporting Solid communication skills Enjoys working in a team environment
Preferred Qualifications · PhD in Machine Learning, Mathematics, Statistics, Computer Science, Operations Research or in another highly quantitative field . Knowledge of AWS Infrastructure, Redshift · Predictive Analytics · Any Hadoop, NoSQL Database & Technology