Manager, Data Science - Consumer Identity Machine Learning

Capital One
McLean, VA, USA / New York, NY, USA / San Jose, CA, USA2026-04-21Full time

About the job

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Responsibilities

Explore billions of clickstream events to discover the patterns in customer behavior, and use those patterns to model key customer outcomes

Develop the real-time models that use vast amounts of customer data to anticipate customers’ needs and deliver the right options at the right time

Develop the models that ensure our most important customer data is accurate, fighting fraud and other bad behavior, while enabling seamless digital experiences across all our products

Qualifications

Minimum

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics

A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics

A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics

At least 1 year of experience leveraging open source programming languages for large scale data analysis

At least 1 year of experience working with machine learning

At least 1 year of experience utilizing relational databases

Preferred

PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics

At least 1 year of experience working with AWS

At least 4 years’ experience in Python, Scala, or R for large scale data analysis

At least 4 years’ experience with machine learning

At least 4 years’ experience with SQL