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

Manager, Data Science - AI Foundations

Not Disclosed•Full-TimeOn-site

location_on50 West, 50, West San Fernando Street, Downtown Historic District, San Jose, Santa Clara County, California, 95113, 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'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.

About the Team

The AI Foundations Specialist Models Data Science team builds and ships state-of-the-art scalable architecture and AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech, and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One's digital assistant Eno, or search for useful content. You will be the driving force to experiment, innovate, and create next-generation experiences powered by the latest emerging generative AI technologies.

The Role

In this role, you will 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. You will leverage a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data, serving as the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs).

You will build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation. You will partner with engineering teams to operationalize these models in scalable and resilient production systems that serve 80+ million customers. Your work will require flexing your interpersonal skills to translate the complexity of your technical work into tangible business goals.

Who You Are

The ideal candidate is customer-first, loving the process of analyzing and creating while sharing a passion to do the right thing. You are innovative, continually researching and evaluating emerging technologies to stay current on state-of-the-art methods. You are creative, thriving on bringing definition to big, undefined problems and pushing hard to find answers.

You are a leader who challenges conventional thinking and works with stakeholders to identify and improve the status quo, while being passionate about talent development. You possess an engineering mindset with a track record of delivering models at scale and have hands-on experience working with LLMs and open-source tools on cloud computing platforms. You are influential, able to bring a cross-functional team along in breakthrough innovations and communicate clearly with non-technical audiences.

Hiring Process & Application

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. This role is expected to accept applications for a minimum of 5 business days. No agencies please.

If you require an accommodation to apply for a position, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

Equal Opportunity & Culture

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

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Manager, Data Science - AI Foundations

Capital One • McLean, Virginia

$193k-241karrow_forward
Capital One logo

Manager, Data Science - AI Foundations

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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 in quantitative field with 6 years experience (or equivalent); Master's in quantitative field or MBA with quantitative concentration plus 4 years experience; PhD in quantitative field plus 1 year experience (or preferred in STEM).

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

What does a Manager, Data Science - AI Foundations at Capital One do?expand_more
A 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 generative AI technologies to drive innovation; Build and operationalize machine learning and NLP models across design, training, evaluation, and validation phases; and Design scalable and resilient production systems serving over 80 million customers.
What are the requirements for this 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 6 years data analytics OR Master's in quantitative field plus 4 years data analytics OR PhD in quantitative field plus 1 year data analytics; 1 year experience with open source programming languages for large scale data analysis; 1 year experience with machine learning; 1 year experience with relational databases; 4 years experience in Python, Scala, or R (preferred); and 4 years experience with machine learning (preferred).
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Work location

Work model: On-site

location_on

50 West, 50, West San Fernando Street, Downtown Historic District, San Jose, Santa Clara County, California, 95113, United States

San Jose, California

Key Responsibilities

  • check_circleTranslate complex technical work into tangible business goals for stakeholders
  • check_circleResearch and evaluate emerging generative AI technologies to drive innovation
  • check_circleBuild and operationalize machine learning and NLP models across design, training, evaluation, and validation phases
  • check_circleDesign scalable and resilient production systems serving over 80 million customers
  • check_circleAdapt and fine-tune Large Language Models for customer-facing applications and features
  • check_circlePartner with cross-functional teams to deliver AI-powered products that transform customer financial interactions
  • check_circleUtilize technologies like PyTorch, AWS, and Hugging Face to extract insights from large-scale numeric and textual data

Requirements

  • verifiedBachelor's in quantitative field plus 6 years data analytics OR Master's in quantitative field plus 4 years data analytics OR PhD in quantitative field plus 1 year data analytics
  • verified1 year experience with open source programming languages for large scale data analysis
  • verified1 year experience with machine learning
  • verified1 year experience with relational databases
  • verified4 years experience in Python, Scala, or R (preferred)
  • verified4 years experience with machine learning (preferred)
  • verified4 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 4 years of experience in Python, Scala, or R. At least 4 years of experience with machine learning. At least 4 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

1+ yrs (Senior)

Education

Bachelor's in quantitative field with 6 years experience (or equivalent)

Job Type

Full-Time

Skills Required

Statistical ModelingRelational DatabaseMachine LearningPytorchAwsHugging Face
$193k-241k
arrow_forward
Where is the Manager, Data Science - AI Foundations role at Capital One located?
expand_more
Manager, Data Science - AI Foundations at Capital One is based in 50 West, 50, West San Fernando Street, Downtown Historic District, San Jose, Santa Clara County, California, 95113, United States. This is a on-site role.
Is this Manager, Data Science - AI Foundations job remote, hybrid, or on-site?expand_more
Capital One has listed this Manager, Data Science - AI Foundations role as on-site.
How much experience is required for this Manager, Data Science - AI Foundations role?expand_more
Manager, Data Science - AI Foundations at Capital One typically requires 1+ years of relevant experience at the senior level.
What skills do you need for the Manager, Data Science - AI Foundations role at Capital One?expand_more
Key skills for 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 Manager, Data Science - AI Foundations at Capital One?expand_more
Educational requirements for this role: Bachelor's in quantitative field with 6 years experience (or equivalent); Master's in quantitative field or MBA with quantitative concentration plus 4 years experience; and PhD in quantitative field plus 1 year experience (or preferred in STEM).
What category does the Manager, Data Science - AI Foundations role belong to?expand_more
Manager, Data Science - AI Foundations at Capital One is part of the it job category on Recrutus.
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Langchain
Lightning
Vectordbs
Natural Language Processing