Senior 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
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 innovation, combined with 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 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.
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 mission is to create next-generation experiences powered by the latest emerging generative AI technologies.
The Role
In this Senior Manager position, you will be the driving force to experiment, innovate, and create. 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. Your work will involve partnering with engineering teams to operationalize these models in scalable and resilient production systems that serve over 80 million customers. You will flex your interpersonal skills to translate the complexity of your work into tangible business goals, ensuring that every decision prioritizes the customer.
Our Culture
We are looking for individuals who are customer-first, innovative, and creative. You will thrive in an environment where you are encouraged to bring definition to big, undefined problems and push hard to find answers. As a leader, you will challenge conventional thinking, work with stakeholders to improve the status quo, and remain passionate about talent development for your own team and beyond. We value those who are influential, capable of bringing cross-functional teams along in breakthrough innovations, and able to communicate findings clearly to non-technical audiences.
Hiring Process & Application
Capital One is committed to a fair and inclusive hiring process. We consider qualified applicants regardless of background. If you require an accommodation during the application or interview process, 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.
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 Employer
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 regarding criminal background inquiries. Capital One Financial is made up of several different entities; please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe, and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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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 of experience; Master's Degree in a quantitative field with 5 years of experience; PhD in a quantitative field with 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
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; 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).