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  1. Home
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  5. Senior Manager, Data Science - AI Foundations
Capital One logo

Senior Manager, Data Science - AI Foundations

Not Disclosed•Full-TimeOn-site

location_onFairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States

Apply Now

About the Company

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational databases in 1988. Fast-forward a few years, and this innovation and our passion for data have skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you will be part of a team leading the next wave of disruption at a whole new scale. We operate across billions of customer records to unlock big opportunities that help everyday people save money, time, and agony in their financial lives.

Work location

Work model: On-site

location_on

Fairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States

McLean, Virginia

Key Responsibilities

  • check_circleTranslate complex technical work into tangible business goals for stakeholders
  • check_circleResearch and evaluate emerging AI technologies to drive innovation and state-of-the-art solutions
  • check_circleServe as NLP expert to harness Large Language Models for customer-facing applications and features
  • check_circleBuild and operationalize ML and NLP models through design, training, evaluation, and validation phases
  • check_circlePartner with cross-functional teams to deliver AI-powered products that transform customer financial interactions
  • check_circleLeverage PyTorch, AWS, Hugging Face, and LangChain to extract insights from massive numeric and textual datasets
  • check_circleDevelop scalable production systems capable of serving over 80 million customers

Requirements

  • verifiedBachelor's in quantitative field plus 7 years data analytics OR Master's in quantitative field plus 5 years data analytics OR PhD in quantitative field plus 2 years data analytics
  • verified2 years experience with open source programming languages for large scale data analysis
  • verified2 years experience with machine learning
  • verified2 years experience with relational databases
  • verified5 years experience in Python, Scala, or R (preferred)
  • verified5 years experience with machine learning (preferred)
  • verified5 years experience with SQL (preferred)
  • verifiedPhD in STEM field (preferred)

Nice to Have

PhD in a STEM field (Science, Technology, Engineering, or Mathematics). Experience working with AWS. At least 5 years of experience in Python, Scala, or R. At least 5 years of experience with machine learning. At least 5 years of experience with SQL.

Benefits & Perks

check_circleComprehensive health, financial, and other benefits for total well-beingcheck_circlePerformance-based incentive compensation including cash bonuses and long-term incentives
Capital One logo
Company

Capital One

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

2+ yrs (Senior)

Education

Bachelor's Degree in a quantitative field with 7 years experience

Job Type

Full-Time

Skills Required

Statistical ModelingRelational DatabaseMachine LearningPytorchAwsHugging Face

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Skills, education and keywords

Skills: Statistical Modeling, Relational Database, Machine Learning, Pytorch, Aws, Hugging Face, Langchain, Lightning, Vectordbs, Natural Language Processing.

Education: Bachelor's Degree in a quantitative field with 7 years experience; Master's Degree in a quantitative field with 5 years experience; PhD in a quantitative field with 2 years experience.

Frequently asked questions about Senior Manager, Data Science - AI Foundations at Capital One

What does a Senior Manager, Data Science - AI Foundations at Capital One do?expand_more
A Senior Manager, Data Science - AI Foundations at Capital One is responsible for the following: Translate complex technical work into tangible business goals for stakeholders; Research and evaluate emerging AI technologies to drive innovation and state-of-the-art solutions; Serve as NLP expert to harness Large Language Models for customer-facing applications and features; and Build and operationalize ML and NLP models through design, training, evaluation, and validation phases.
What are the requirements for this Senior Manager, Data Science - AI Foundations role?expand_more
Capital One is looking for candidates who meet the following requirements: Bachelor's in quantitative field plus 7 years data analytics OR Master's in quantitative field plus 5 years data analytics OR PhD in quantitative field plus 2 years data analytics; 2 years experience with open source programming languages for large scale data analysis; 2 years experience with machine learning; 2 years experience with relational databases; 5 years experience in Python, Scala, or R (preferred); and 5 years experience with machine learning (preferred).
Where is the Senior Manager, Data Science - AI Foundations role at Capital One located?expand_more
Senior Manager, Data Science - AI Foundations at Capital One is based in Fairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States. This is a on-site role.
Is this Senior Manager, Data Science - AI Foundations job remote, hybrid, or on-site?expand_more
Capital One has listed this Senior Manager, Data Science - AI Foundations role as on-site.
How much experience is required for this Senior Manager, Data Science - AI Foundations role?expand_more
Senior Manager, Data Science - AI Foundations at Capital One typically requires 2+ years of relevant experience at the senior level.
What skills do you need for the Senior Manager, Data Science - AI Foundations role at Capital One?expand_more
Key skills for Senior Manager, Data Science - AI Foundations at Capital One include Statistical Modeling; Relational Database; Machine Learning; Pytorch; Aws; Hugging Face; Langchain; and Lightning.
What education is required for Senior Manager, Data Science - AI Foundations at Capital One?expand_more
Educational requirements for this role: Bachelor's Degree in a quantitative field with 7 years experience; Master's Degree in a quantitative field with 5 years experience; and PhD in a quantitative field with 2 years experience.
What category does the Senior Manager, Data Science - AI Foundations role belong to?expand_more
Senior Manager, Data Science - AI Foundations at Capital One is part of the it job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

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Job seekers
Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryJobs by skillCareer guidesCareer blogSalary insights
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Jobs in TexasJobs in CaliforniaJobs in New YorkJobs in FloridaJobs in North CarolinaJobs in OhioAll states →
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Popular skills
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About usFAQContactPrivacy policy

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

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Langchain
Lightning
Vectordbs
Natural Language Processing
US privacy notice
Accessibility