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Capital One

Senior Data Scientist, AI Foundations

Capital One

Data Scientist at Capital One leveraging machine learning to deliver AI powered products for financial interactions. Collaborating with cross-functional teams to enhance customer experiences with advanced data techniques.

Posted 5/26/2026full-timeNew York City • California, New York • 🇺🇸 United StatesSenior💰 $148,000 - $168,900 per yearWebsite

Tech Stack

Tools & technologies
AWSPythonPyTorchScalaSQL

About the role

Key responsibilities & impact
  • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
  • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
  • Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
  • Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

Requirements

What you’ll need
  • Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
  • 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
  • Experience working with AWS
  • At least 2 years’ experience in Python, Scala, or R
  • At least 2 years’ experience with machine learning
  • At least 2 years’ experience with SQL

Benefits

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

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Natural Language Processingmachine learningPythonScalaRSQLdata analyticsmodel trainingmodel evaluationmodel validation
Soft Skills
interpersonal skillscommunication
Certifications
Bachelor's DegreeMaster's DegreeMBA