Principal Data Scientist, Emerging ML & Foundation Models

Capital One National Association; McLean (VA); On-site; USD 161,800 - 184,600; Full time

Job summary

Capital One is seeking a Principal Associate, Data Scientist for Emerging ML. The role covers end-to-end data science—from concept to production—operating on billions of records to unlock opportunities for customers.

You will partner with product and engineering teams to run experiments and drive improvements in areas like marketing, servicing, and fraud prevention, using Python, Scala, Spark, and AWS.

Qualifications

• Bachelor’s degree in a quantitative field with analytics experience.
• Master’s or MBA with quantitative focus plus analytics experience.
• PhD in a quantitative field is also acceptable.

Responsibilities

• Build ML models from concept to production across the data science lifecycle.
• Collaborate with product and engineering teams to run experiments improving customer experiences and business outcomes.
• Develop and maintain data pipelines and analytical tooling (Python/Scala) to analyze large-scale data using Spark/AWS.

Skills

Python

Scala

R

SQL

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

Spark

AWS

Open source tools

Job description

Capital One is seeking a Principal Associate, Data Scientist for Emerging ML. The role covers end-to-end data science—from concept to production—operating on billions of records to unlock opportunities for customers.

You will partner with product and engineering teams to run experiments and drive improvements in areas like marketing, servicing, and fraud prevention, using Python, Scala, Spark, and AWS.