Director of Generative AI & Data Science

Capital One; McLean (VA); On-site; USD 269,000 - 307,000; Full time

Job summary

Capital One is seeking a Data Scientist to join the Generative AI Systems (Genesis) team within Card Data Science. You will work across NLP, ML, and CV to build AI-powered solutions that handle billions of records and serve 80+ million customers.

You will lead initiatives, collaborate with product and eng teams, and push the boundaries of generative AI while delivering scalable, reliable production systems.

Qualifications

• Bachelor’s Degree in a quantitative field plus 9 years of experience performing data analytics.
• Master’s Degree in a quantitative field or an MBA with a quantitative concentration plus 7 years of experience performing data analytics.
• PhD in a quantitative field plus 4 years of experience performing data analytics.
• At least 4 years of experience leveraging open source programming languages for large scale data analysis.
• At least 4 years of experience working with machine learning.
• At least 4 years of experience utilizing relational databases.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Leverage PyTorch, AWS, Hugging Face, LangChain to reveal insights from large data volumes.
• Be the NLP expert to harness LLMs for customer-facing applications and features.
• Build ML and NLP models through design, training, evaluation and deployment.
• Translate complex work into tangible business goals.

Skills

Python

Scala

R

Open-source tools

Relational databases

Machine learning

Education

Bachelor’s Degree in a quantitative field

Master’s Degree in a quantitative field or MBA with a quantitative concentration

PhD in a quantitative field

Tools

PyTorch

AWS

Hugging Face

LangChain

VectorDBs

Lightning

Job description

Capital One is seeking a Data Scientist to join the Generative AI Systems (Genesis) team within Card Data Science. You will work across NLP, ML, and CV to build AI-powered solutions that handle billions of records and serve 80+ million customers.

You will lead initiatives, collaborate with product and eng teams, and push the boundaries of generative AI while delivering scalable, reliable production systems.