Principal Data Scientist - Recommendation & Personalization Systems
Core
Architecting and deploying cutting-edge personalized recommendation engines for Capital One's web and mobile applications using high-scale ML models and original research into Foundation Models.
Role type
Principal Data Scientist (Recommendation Systems)
Builds
Personalized customer experiences across web and mobile applications
Domain
Financial services / Machine Learning / Recommendation Systems
Deliverable
production ML models
Required skills
Python, SQL, machine learning, statistical modeling, data analytics, cloud computing, Transformer-based architectures, Reinforcement Learning, Causal Inference
Preferred skills
AWS, Scala, R, PhD in STEM
Technologies
Python, Conda, AWS, H2O, Spark, SQL
Responsibilities
Partner with cross-functional teams to deliver products; build ML models through design, training, evaluation, validation, and implementation; retrieve and analyze data from various sources; research and evaluate emerging technologies.
Seniority
Principal, hands-on IC with strategy & mentorship