# Director, Data Science at Capital One

Capital One is hiring a Director, Data Science. Level rates it Uses AI ●●○○; you can [apply on Capital One](https://jobsbylevel.com/go/9e57aef5-613c-402b-994f-f3a5c0be712a?utm_medium=ai-agent).

AI Level 2, AI centrality 43 out of 100. McLean, VA.

## Details

- Company: [Capital One](https://jobsbylevel.com/companies/capital-one)
- AI level: AI Level 2 (score 43 out of 100)
- Location: McLean, VA
- Posted: November 13, 2026
- Apply: https://jobsbylevel.com/go/9e57aef5-613c-402b-994f-f3a5c0be712a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=director-data-science-at-capital-one-d1b535

## Description

Director, Data Science 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 the relational database, cutting edge technology 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 that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. About The Team Capital One was built on the idea that better data and better models make better credit decisions. The Applied AI in Credit team is working on the next chapter of that story. We apply AI models to credit decisioning. These models learn from the full history of how a customer uses credit, and putting them to work in lending decisions is cutting-edge work for the US industry.We own the work end to end. We fine-tune and build models for specific credit decisions, prove them against the models we use today, make them explainable enough to meet the bar that fair lending and model risk management require, and carry them into live credit decisions. Along the way we partner closely with Capital One’s AI researchers on one side and the credit teams who run our card business on the other. We hire across a range, from data scientists who love building models to analysts who know credit deeply, and we look for people who want to grow toward the other end. If you want to help shape how AI is used in lending, we’d love to talk. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals 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 open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree

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Source: https://jobsbylevel.com/jobs/director-data-science-at-capital-one-d1b535

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