Data Science Manager – Model Risk & AI Innovation

Capital One; McLean (VA); On-site; USD 197,300 - 225,100; Full time

Job summary

Capital One is seeking a Manager, Data Scientist for the Model Risk Audit team. The role partners with data scientists, software engineers, and product managers to deliver analytics products and audit ML models across development stages.

You will work with Python, AWS, Spark, and NLP techniques on billions of records to drive risk and insights. The ideal candidate combines technical depth with business communication, leadership, and a passion for innovation in AI and data-driven decision making.

Qualifications

• Bachelor's or higher in statistics, economics, OR, analytics, math, CS or related field with 6+ years data analytics experience.
• Master's or MBA with quantitative focus plus 4+ years data analytics experience.
• PhD plus 1 year data analytics experience.

Responsibilities

• Partner with cross-functional teams to deliver analytics products customers love.
• Leverage Python, AWS, Spark, and other tools to reveal insights from large numeric and text data.
• Audit ML models through design, training, evaluation, validation, and implementation.
• Translate complex work into tangible business goals for stakeholders.

Skills

Python

Scala

R

Machine Learning

Open Source Languages

Relational Databases

Data Analytics

NLP

Education

Bachelor's Degree in a quantitative field

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

PhD in a quantitative field

Tools

AWS

Spark

H2O

Conda

Job description

Capital One is seeking a Manager, Data Scientist for the Model Risk Audit team. The role partners with data scientists, software engineers, and product managers to deliver analytics products and audit ML models across development stages.

You will work with Python, AWS, Spark, and NLP techniques on billions of records to drive risk and insights. The ideal candidate combines technical depth with business communication, leadership, and a passion for innovation in AI and data-driven decision making.