# Associate, Data Scientist - US Card at Capital One

Capital One is hiring an Associate, Data Scientist - US Card. Level rates it Uses AI ●●○○; you can [apply on Capital One](https://jobsbylevel.com/go/64038005-7e30-47b5-b46e-1a66257ce4b9?utm_medium=ai-agent).

AI Level 2, AI centrality 44 out of 100. McLean, VA.

## Details

- Company: [Capital One](https://jobsbylevel.com/companies/capital-one)
- AI level: AI Level 2 (score 44 out of 100)
- Location: McLean, VA
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/64038005-7e30-47b5-b46e-1a66257ce4b9?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=associate-data-scientist-us-card-at-capital-one-3fa121

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## Description

Associate, Data Scientist - US Card 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 100 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. Team Description: The US Card Data Science organization at Capital One leverages our massive wealth of customer data to drive business strategy and deliver world-class customer experiences. Our team builds and deploys sophisticated data science and machine learning models across the entire credit card lifecycle—including marketing, acquisitions, underwriting, and fraud prevention. In this role, you will turn complex insights into real-world impact, shaping financial products that serve and protect millions of cardholders daily. Role Description 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, SQL or Databricks, PySpark 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: 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. 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. Statistically-minded. You have a solid foundation in model building, validation, and evaluation. You have experience applying core techniques like clustering, classification, and sentiment analysis, with an openness to learning advanced methods like 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 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 (Data Science, Analytics, Statistics, Physics, Economics, Engineering, Operations Research, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Experience working with AWS Experience with a command-line interface At least 1 year of experience performing data analytics At least 1 year experience in Python, Scala, or R At least 1 year experience with machine learning At least 1 year experience with SQL At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). The minimum and

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