Principal Data Scientist, The Recommendation & Personalization Team

Capital One is seeking a Principal Data Scientist to join their Recommendation & Personalization team within AI Foundations. This role is at the forefront of building state-of-the-art scalable AI/ML solutions for Capital One's award-winning mobile app, website, emails, and other digital channels. The position involves working with cutting-edge technologies and methodologies including reinforcement learning, recommender systems, causal inference, and multi-objective learning with transformers.

The ideal candidate will be a customer-focused innovator who can translate complex technical solutions into business value. You'll work with technologies like Python, AWS, Pyspark, and Nvidia Rapids/Merlin/Triton to analyze large volumes of data and build sophisticated machine learning models. The role requires both technical expertise in data science and machine learning, as well as strong leadership and communication skills.

Key responsibilities include partnering with cross-functional teams, developing and implementing machine learning models through all phases, and driving innovation in personalization technologies. The position offers competitive compensation ranging from $173,000 to $197,400 annually, depending on location, plus performance-based incentives and comprehensive benefits.

Capital One has a rich history of using data innovation to disrupt the financial industry, starting with their pioneering use of statistical modeling for credit card offers in 1988. Today, they continue this tradition by leveraging the latest computing and machine learning technologies across billions of customer records to create solutions that help people manage their financial lives more effectively.

This role requires a minimum of 5 years of experience with a Bachelor's degree in a quantitative field, or equivalent advanced degree combinations. Preferred qualifications include specialized experience in recommender systems, reinforcement learning, and GenAI application development. The position offers opportunities for growth and innovation in a collaborative, technology-driven environment.