Sr. Applied Scientist, Denied Party Screening (DPS), AWS Compliance & Security Assurance
Core
Build automatic mechanisms using ML and Generative AI to detect and prevent prohibited transactions with denied entities, screening over a billion events daily.
Role type
Sr. Applied Scientist (ML/AI)
Builds
ML/AI-powered detection and resolution systems for security compliance
Domain
Cybersecurity / Financial Compliance / Machine Learning
Deliverable
production ML models
Required skills
neural deep learning methods, machine learning, Java, C++, Python
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, large scale distributed systems (Hadoop, Spark)
Responsibilities
Drive research and development of novel ML/AI models, prototype and iterate on solutions, analyze complex datasets, present research findings to leadership, mentor junior scientists
Seniority
Senior, hands-on IC with mentorship responsibilities
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