Data Science Manager

Capital One

Data Scientist role at Capital One focused on analyzing model risks and building machine learning solutions. Collaborating with a cross-functional team to improve data-driven decisions in financial services.

Posted 4/29/2026full-timeMcLean • Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $197,300 - $225,100 per yearWebsite

Tech Stack

Tools & technologies

AWSOpen SourcePythonSpark

About the role

Key responsibilities & impact

Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
Leverage a broad stack of technologies — Python, Conda, AWS, Spark, and more — to reveal insights within huge volumes of data
Build machine learning models to challenge champion models deployed in production today
Contribute to the model governance framework for the next generation of machine learning models
Present model risks to executives
Validate a wide variety of models across multiple business domains

Requirements

What you’ll need

A Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics
A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
A PhD in a 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

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Flexible work arrangements
Performance-based incentives
Comprehensive benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticsmachine learningmodel governancemodel validationrisk quantificationlarge scale data analysisrelational databasesprogramming languagesPythonSpark

Soft Skills

communicationcollaborationpresentationcross-functional teamwork