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 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 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.
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. Beyond the technical work, you will flex your interpersonal skills to translate the complexity of your work into tangible business goals.
Our Culture
The ideal candidate is customer-first, sharing our passion to do the right thing and make the right decisions for our customers. You are innovative, continually researching and evaluating emerging technologies to apply state-of-the-art methods. You are creative, thriving on bringing definition to big, undefined problems and pushing hard to find answers.
As a leader, you challenge conventional thinking and work with stakeholders to identify and improve the status quo. You are passionate about talent development for your own team and beyond. You possess an engineering mindset with a track record of delivering models at scale and have the ability to bring a cross-functional team along in breakthrough innovations.
Hiring Process
This role is expected to accept applications for a minimum of 5 business days. No agencies please.
Equal Opportunity
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.
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.
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 with 7 years experience; Master's Degree in a quantitative field with 5 years experience; PhD in a quantitative field with 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
In this Senior Manager, Data Science - AI Foundations at Capital One role, you 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).