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Capital One

Manager, Data Scientist – Innovation Hub

Capital One

Data Scientist at Capital One delivering AI-driven solutions using cutting edge technologies. Collaborating with cross-functional teams to impact customer financial experiences.

Posted 5/31/2026full-timeMcLean • Texas, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $179,400 - $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 deliver a product customers love
  • Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Requirements

What you’ll need
  • 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
  • Master's Degree in a STEM field plus 3 years of experience in data analytics, or PhD in a STEM field
  • At least 3 years of experience in Python
  • At least 3 years of experience with machine learning
  • At least 1 year of experience working with AWS, including Amazon Bedrock
  • Experience designing or deploying generative AI or large language model (LLM) based applications
  • Experience working across multiple business domains or in a cross-functional, project-based environment

Benefits

Comp & perks
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

ATS Keywords

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Hard Skills & Tools
Pythonmachine learningdata analyticsrelational databasesgenerative AIlarge language modelsdata analysisH2OSparkConda
Soft Skills
interpersonal skillscommunicationcollaborationproblem-solvingbusiness acumen
Certifications
Bachelor's DegreeMaster's DegreePhD