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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_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

Apply Now

About Capital One

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 little 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'll 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

NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

New York, New York

Key Responsibilities

  • check_circleTranslate complex technical work into tangible business goals for stakeholders
  • check_circleBuild and operationalize machine learning and NLP models for scalable production systems serving 80+ million customers
  • check_circleUtilize PyTorch, AWS, Hugging Face, and VectorDBs to extract insights from large volumes of numeric and textual data
  • check_circleAdapt and fine-tune Large Language Models for customer-facing applications and features
  • check_circleLead experimentation and innovation to create next-generation experiences using generative AI technologies
  • check_circlePartner with cross-functional teams to deliver AI-powered products that transform customer financial interactions

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' experience in Python, Scala, or R. At least 5 years' experience with machine learning. At least 5 years' 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 in a quantitative field with 7 years of experience

Job Type

Full-Time

Skills Required

Statistical ModelingRelational DatabaseMachine LearningPytorchAwsHugging Face

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$159k-197karrow_forward

Skills, education and keywords

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

Education: Bachelor's in a quantitative field with 7 years of experience; Master's in a quantitative field or MBA with quantitative concentration plus 5 years of experience; PhD in a quantitative field plus 2 years of 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
Day-to-day, the Senior Manager, Data Science - AI Foundations at Capital One will translate complex technical work into tangible business goals for stakeholders; build and operationalize machine learning and nlp models for scalable production systems serving 80+ million customers; utilize pytorch, aws, hugging face, and vectordbs to extract insights from large volumes of numeric and textual data; and adapt and fine-tune large language models for customer-facing applications and features.
What are the requirements for this Senior Manager, Data Science - AI Foundations role?expand_more
To qualify for the Senior Manager, Data Science - AI Foundations at Capital One position, applicants should have: 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 NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, 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 in a quantitative field with 7 years of experience; Master's in a quantitative field or MBA with quantitative concentration plus 5 years of experience; and PhD in a quantitative field plus 2 years of 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 VirginiaAll states →
Top categories
Healthcare & Nursing jobsLogistics & Warehouse jobsEngineering jobsIT jobsSales jobsHospitality & Catering jobsAccounting & Finance jobs
Popular skills
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Company
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