
location_on50 West, 50, West San Fernando Street, Downtown Historic District, San Jose, Santa Clara County, California, 95113, United States
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.
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.
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.
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.
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.
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.
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).
Work model: On-site
50 West, 50, West San Fernando Street, Downtown Historic District, San Jose, Santa Clara County, California, 95113, United States
San Jose, California
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.
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