Principal Associate, Data Science - US Card Fraud Authentication Team
Core
Design technical vision for fraud authentication workflows and build scalable machine learning solutions to optimize decisioning and prevent fraud for Capital One credit card customers.
Role type
Principal Associate, Data Scientist (Fraud Prevention)
Builds
Production ML models for authentication decisioning and fraud-prevention strategies
Domain
Financial Services / Credit Card Fraud / Machine Learning
Deliverable
production ML models
Required skills
Machine learning model development, statistical analysis, big data processing, Python, SQL, AWS, Spark, H2O, deep learning, classification, clustering, time series analysis
Preferred skills
AWS experience, Python/Scala/R, machine learning, SQL
Technologies
Python, AWS, Spark, H2O, SQL
Responsibilities
Design technical vision for authentication workflows, prototype innovative ML solutions, analyze complex datasets to uncover fraud patterns, build ML models through design to implementation phases, partner with cross-functional teams to deliver products
Seniority
Principal, hands-on IC with strategy & mentorship
