Lead Data Scientist—ML, Risk & AI Platforms

Capital One; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One in McLean, VA is seeking a Data Scientist to join the Mainstreet Acquisitions team. You will develop and deploy predictive models, leverage large-scale data, and explore AI capabilities to improve credit strategy and decisioning.

You will collaborate with data scientists, analysts, and software engineers across squads, translate complex analyses into actionable business insights, and drive responsible, customer-first model development using open-source tools and cloud platforms.

Qualifications

• Bachelor's degree in a quantitative field plus 6 years analytics experience (or Master's +4, PhD +1).
• At least 1 year experience with open source languages for large-scale data analysis.
• At least 1 year experience with machine learning and relational databases.

Responsibilities

• Identify, analyze, and mitigate systemic risks within a multi-model decisioning infrastructure.
• Build and deploy solutions centered on Large Language Models (LLMs) and Agentic AI.
• Partner with data scientists, business analysts, and software engineers to deliver tools for the business.
• Translate complex work into tangible business goals.

Skills

Python

Scala

R

SQL

Machine Learning

AWS

Open Source

Relational Databases

Education

Bachelor's in quantitative field

Master's in quantitative field

PhD in quantitative field

Tools

AWS

Python libraries

Job description

Capital One in McLean, VA is seeking a Data Scientist to join the Mainstreet Acquisitions team. You will develop and deploy predictive models, leverage large-scale data, and explore AI capabilities to improve credit strategy and decisioning.

You will collaborate with data scientists, analysts, and software engineers across squads, translate complex analyses into actionable business insights, and drive responsible, customer-first model development using open-source tools and cloud platforms.