Principal Associate, Data Scientist - Recommendation & Personalization Systems
Core
Architecting and deploying cutting-edge personalized recommendation engines and leveraging high-scale ML models to unlock opportunities for everyday people in their financial lives.
Role type
Principal, hands-on IC machine learning engineer (recommendation systems)
Builds
Personalized recommendation engines for Capital One's web and mobile applications
Domain
Financial services + machine learning
Deliverable
production ML models
Required skills
Causal Inference, Transformer-based architectures, Reinforcement Learning, Recommender Systems, Python, SQL, AWS, Spark, H2O, Conda
Preferred skills
Experience with open-source languages, cloud computing platforms, emerging technologies
Technologies
Python, Conda, AWS, H2O, Spark
Responsibilities
Partner with cross-functional teams to deliver customer-focused products; Build machine learning models through design, training, evaluation, validation, and implementation; Leverage a broad technology stack to analyze huge volumes of numeric and textual data
Seniority
Principal, hands-on IC
