Senior Data Scientist, AI Foundations

Senior Data Scientist, AI Foundations

Data is at the center of everything we do. Capital One uses data-driven decision making to personalize offerings and lead in data-driven decision-making.

Overview

As a Data Scientist at Capital One, you will be part of a team delivering AI-powered products at scale, working across billions of customer records to unlock opportunities that help people save money, time and effort in their financial lives.

Team Description

AI Foundations Specialist Models Data Science team builds scalable architecture and AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech and design to deliver app features that delight customers, enable interaction with the digital assistant Eno, and power next-generation experiences with generative AI technologies.

In this role, you will

• Partner with a cross-functional team of data scientists, software engineers, ML engineers and product managers to deliver AI powered products that change how customers interact with their money.
• Leverage a broad stack of technologies - PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data.
• Be the NLP expert to harness the power of large language models, adapt and finetune them for customer facing applications and features.
• 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 that serve 80+ million customers.
• Translate the complexity of your work into tangible business goals with strong interpersonal communication.

The Ideal Candidate is

• Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.
• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
• Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.
• Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.
• You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.
• You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.

Basic Qualifications

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications

• Master's Degree or PhD in a STEM field
• Experience with AWS
• At least 2 years' experience in Python, Scala, or R
• At least 2 years' experience with machine learning
• At least 2 years' experience with SQL

Capital One is an equal opportunity employer (EOE, including disability/vet). Capital One is committed to a non-discriminatory workplace in compliance with applicable laws. If you require an accommodation during the recruitment process, please contact Capital One Recruiting at or

No agencies please.

This role is not open to recruitment agencies. The salary information for this posting is illustrative and varies by location.

Capital One Careers: Learn more and apply at the Capital One Careers website. For technical support or questions about the recruiting process, please contact Capital One may be subject to international postings; Canada, UK, and the Philippines have specific postings as applicable.