Principal Data Scientist, 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
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 stress 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. Whether enabling users to chat with Capital One's digital assistant, Eno, or search for useful content, our team is 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 be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapting and fine-tuning them for customer-facing applications. You will 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 serving 80+ million customers.
You will leverage a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data. Beyond the technical execution, you will flex your interpersonal skills to translate the complexity of your work into tangible business goals, challenging conventional thinking and working with stakeholders to identify and improve the status quo.
Hiring Process
This role is expected to accept applications for a minimum of 5 business days. Please note that no agencies are accepted for this position.
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 consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws.
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.
Work location
Work model: On-site
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 through design, training, evaluation, and validation phases
- check_circleServe as NLP expert to harness Large Language Models for customer-facing applications and features
- check_circleResearch and evaluate emerging AI technologies to drive innovation and next-generation experiences
- 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 5 years data analytics OR Master's in quantitative field plus 3 years data analytics OR PhD in quantitative field
- verifiedMaster's or PhD in STEM preferred
- verifiedExperience with AWS
- verifiedAt least 3 years Python, Scala, or R
- verifiedAt least 3 years machine learning
- verifiedAt least 3 years SQL
- verifiedExperience training language models or large computer vision models
- verifiedWork authorization sponsorship available
Nice to Have
Master's Degree in STEM field or PhD in STEM field. Experience working with AWS. At least 3 years' experience in Python, Scala, or R. At least 3 years' experience with machine learning. At least 3 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
Similar Job Opportunities
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 required with 5 years of experience; Master's Degree in a quantitative field required with 3 years of experience; PhD in a quantitative field required.
Frequently asked questions about Principal Data Scientist, AI Foundations at Capital One
What does a Principal Data Scientist, AI Foundations at Capital One do?expand_more
Day-to-day, the Principal Data Scientist, AI Foundations at Capital One will translate complex technical work into tangible business goals for stakeholders; build and operationalize machine learning and nlp models through design, training, evaluation, and validation phases; serve as nlp expert to harness large language models for customer-facing applications and features; and research and evaluate emerging ai technologies to drive innovation and next-generation experiences.
What are the requirements for this Principal Data Scientist, AI Foundations role?expand_more
To qualify for the Principal Data Scientist, AI Foundations at Capital One position, applicants should have: Bachelor's in quantitative field plus 5 years data analytics OR Master's in quantitative field plus 3 years data analytics OR PhD in quantitative field; Master's or PhD in STEM preferred; Experience with AWS; At least 3 years Python, Scala, or R; At least 3 years machine learning; and At least 3 years SQL.
Where is the Principal Data Scientist, AI Foundations role at Capital One located?expand_more
Principal Data Scientist, 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 Principal Data Scientist, AI Foundations job remote, hybrid, or on-site?expand_more
Capital One has listed this Principal Data Scientist, AI Foundations role as on-site.
How much experience is required for this Principal Data Scientist, AI Foundations role?expand_more
Principal Data Scientist, AI Foundations at Capital One typically requires 3+ years of relevant experience at the lead level.
What skills do you need for the Principal Data Scientist, AI Foundations role at Capital One?expand_more
Key skills for Principal Data Scientist, AI Foundations at Capital One include Statistical Modeling; Relational Database; Machine Learning; Pytorch; Aws; Hugging Face; Langchain; and Lightning.
What education is required for Principal Data Scientist, AI Foundations at Capital One?expand_more
Educational requirements for this role: Bachelor's Degree in a quantitative field required with 5 years of experience; Master's Degree in a quantitative field required with 3 years of experience; and PhD in a quantitative field required.
What category does the Principal Data Scientist, AI Foundations role belong to?expand_more
Principal Data Scientist, AI Foundations at Capital One is part of the it job category on Recrutus.