Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Capital One

Senior Manager, Data Science – AI Foundations

Capital One

Senior Manager of Data Science leading AI and machine learning projects at Capital One. Collaborating with cross-functional teams to create innovative customer experiences.

Posted 6/10/2026full-timeMcLean • California, New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $262,400 per yearWebsite

Tech Stack

Tools & technologies
AWSOpen SourcePyTorch

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
  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science) plus 7 years of experience performing data analytics
  • A Master's Degree or MBA with quantitative concentration plus 5 years' experience performing data analytics
  • A PhD in a quantitative field plus 2 years' experience performing data analytics
  • At least 2 years of experience leveraging open source programming languages for large scale data analysis
  • At least 2 years of experience working with machine learning
  • At least 2 years of experience utilizing relational databases
  • Experience in delivering libraries, platforms, or solution level code to existing products

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Performance based incentive compensation including cash bonuses
  • Comprehensive and competitive benefits that support your total well-being

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

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

Hard Skills & Tools
Natural Language Processingmachine learningdata analyticslarge scale data analysisrelational databasesPytorchHugging FaceLangChainLightningVectorDBs
Soft Skills
interpersonal skillscommunication
Certifications
Bachelor's DegreeMaster's DegreeMBAPhD