Job DescriptionAre you ready to take your career to the next level? Are you passionate about building data driven solutions to drive the profitability? Are you excited about modeling terabytes of data and developing state of the art algorithms to solve real world problems? Do you have proven analytical capabilities, project management skills, and can multi-task and thrive in a fast-paced environment? If you answered yes, then the Fraud Prevention Team at Amazon Web Services (AWS) is looking for you! The mission of the Fraud Prevention Team is to keep the AWS platform a safe and trusted place for our customers and partners. We\u2019re responsible for preventing fraud for all AWS services all over the world. Every day fraudsters attempt to steal our services. We use extensive data modeling, machine learning and software solutions to identify the good from the bad so that we can protect AWS users. As a Research Scientist at Amazon, you\u2019ll be leading us in making critical and time sensitive decisions that impact customers. You\u2019ll use your analytics training to determine patterns of behavior for anomalous events and cluster detection. You\u2019ll help drive business decisions that directly benefit our customers. It\u2019s fast paced, data driven, and impactful. We are raising the bar for Fraud prevention in the Cloud. This is a ground floor opportunity, where a successful candidate will have the ability to shape and define 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\u2019t mind getting involved in the details.
Basic QualificationsQualifications MS in Machine Learning, Mathematics, Statistics, Computer Science, Operations Research or in another highly quantitative field 5 years of hands-on industry experience in predictive modeling and large data analysis Track record of delivering large analytical solutions with big business impact 8 years with Statistical Analysis and Modeling tools like R, Python, SAS or similar Skilled in various Statistical and Machine Learning algorithmsAble to write SQL scripts for analysis and reporting Solid communication skills Enjoys working in a team environment
Preferred QualificationsPreferred 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
Website : http://www.amazon.com/
Amazon, a Fortune 500 company based in Seattle, Washington, is the global leader in e-commerce. Since Jeff Bezos started Amazon in 1995, we have significantly expanded our product offerings, international sites, and worldwide network of fulfillment and customer service centers. Today, Amazon offers everything from books and electronics to tennis rackets and diamond jewelry. We operate sites in Canada, China, France, Germany, Italy, Japan, Spain and United Kingdom and maintain dozens of fulfillment centers around the world which encompass more than 26 million square feet.