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
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 has 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. Whether enabling users to chat with Capital One's digital assistant, Eno, or search for useful content, our goal is to create next-generation experiences powered by the latest emerging generative AI technologies.
The Role
In this role, you will be the driving force to experiment, innovate, and create next-generation experiences. 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. As the expert in Natural Language Processing (NLP), you will 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. 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 work into tangible business goals.
Our Culture
We are looking for individuals who are customer-first, innovative, creative, and leaders. You will thrive on bringing definition to big, undefined problems and aren't afraid to share new ideas. As a leader, you will challenge conventional thinking and work with stakeholders to identify and improve the status quo, while being passionate about talent development for your own team and beyond.
We are an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace and considers for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws.
Application Process
This role is expected to accept applications for a minimum of 5 business days. No agencies please. If you require an accommodation to apply, 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 non-technical stakeholders
- check_circleBuild and operationalize machine learning and NLP models for scalable production systems serving 80+ million customers
- check_circleLead experimentation and innovation to create next-generation experiences powered by generative AI technologies
- 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_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 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, competitive, and inclusive set of health, financial, and other benefitscheck_circlePerformance-based incentive compensation including cash bonuses and/or long-term incentives
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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 (e.g., Statistics, CS) with 7 years experience; Master's Degree in a quantitative field or MBA with quantitative concentration plus 5 years experience; PhD in a quantitative field plus 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 non-technical stakeholders; Build and operationalize machine learning and NLP models for scalable production systems serving 80+ million customers; Lead experimentation and innovation to create next-generation experiences powered by generative AI technologies; and Utilize PyTorch, AWS, Hugging Face, and VectorDBs to extract insights from large volumes of numeric and textual data.
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 Degree in a quantitative field (e.g., Statistics, CS) with 7 years experience; Master's Degree in a quantitative field or MBA with quantitative concentration plus 5 years experience; and PhD in a quantitative field plus 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.