Senior Data Scientist: GenAI & Unstructured Data

Capital One; McLean (VA); On-site; USD 136,000 - 155,000; Full time

Job summary

Capital One is seeking a Senior Associate, Data Scientist for US Card (Applied GenAI) in McLean, VA. You will advance AI-driven customer experiences by applying generative AI to unstructured data and building scalable ML/NLP solutions across teams.

You will collaborate with product, tech, and business groups to embed AI into frontline servicing, document processing, and regulatory compliance, while maintaining robust observability and governance.

Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s or Master’s in a quantitative field by start date.
• Degree holders or MBA with quantitative focus satisfy basic requirements.

Responsibilities

• Apply unstructured data (text, image) using open source LLMs and VLMs.
• Leverage a broad tech stack to automate workflows with large text and vision data.
• Build ML and NLP models from design to production, scalable for 80+ million users.
• Assess GenAI architectures and best practices for deployment.
• Define AI observability and audit trails for autonomous decisions.
• Monitor AI systems to keep outputs within risk appetite.
• Guide annotators to curate high-quality datasets for training and evaluation.
• Collaborate with data scientists and cross-functional teams throughout projects.
• Engage stakeholders to align data science outcomes with business goals.

Skills

Python

Scala

R

SQL

Machine Learning

Generative AI

Education

Bachelor’s Degree in a quantitative field

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

Tools

LangGraph

LlamaIndex

Weights & Biases Weave

Hugging Face

PyTorch

AWS

Job description

Capital One is seeking a Senior Associate, Data Scientist for US Card (Applied GenAI) in McLean, VA. You will advance AI-driven customer experiences by applying generative AI to unstructured data and building scalable ML/NLP solutions across teams.

You will collaborate with product, tech, and business groups to embed AI into frontline servicing, document processing, and regulatory compliance, while maintaining robust observability and governance.