About the job
As a Senior Applied Scientist in AWS, you’ll be leading us in making critical and time sensitive decisions that impact customers. You’ll use your machine learning expertise to build solutions that can scale and solve the business problem, and your engineering experience to build systems that take those solutions to production; it's an exciting opportunity to apply data science to help improve fraud detection accuracy, inference, and customer experience monitoring activity. It’s fast paced, data driven, and impactful.
Responsibilities
Identify and isolate issues using Analytics; Perform Statistical Modeling and traditional Machine Learning; Write queries to aid in data extraction; Productionalize models; Collaborate with a diverse group of internal stakeholders, including fraud operations, Engineering teams, and the Data Platform, to identify and address fraud vulnerabilities; Develop rules and ML models to prevent Customer Terminal (CT) usage fraud and abuse; Leverage customer-obsession skills by thoughtfully considering the user experience and ensuring it is not adversely affected by the mechanisms designed
Qualifications
Minimum
3+ years of building machine learning models for business application experience; PhD, or Master's degree and 6+ years of applied research experience; Experience programming in Java, C++, Python or related language; Experience with neural deep learning methods and machine learning
Preferred
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.; Experience with large scale distributed systems such as Hadoop, Spark etc.