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# Manager, Data Scientist - Business Cards & Payments Credit Infrastructure Team

- **Company:** Capital One Financial Corporation
- **Location:** McLean, VA, United States
- **Salary:** $197,300.0 - $225,100.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Big Data, Relational Databases, Python (Programming Language), Machine Learning, Open Source Technology, Standard Sql, Sentiment Analysis, Cloud Platform System, Apache Spark, Deep Learning, Information Technology, Data Analytics
- **Published:** July 30, 2026
- **Apply:** https://www.capitalonecareers.com/job/mclean/manager-data-scientist-business-cards-and-payments-credit-infrastructure-team/1732/96654369872

## About the Role

* 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.
 * 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., * 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 6 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 plus 4 years of experience performing data analytics
 + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
 * At least 1 year of experience leveraging open source programming languages for large scale data analysis
 * At least 1 year of experience working with machine learning
 * At least 1 year of experience utilizing relational databases, * PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
 * At least 4 years of experience in Python, Scala, or R for large scale data analysis
 * At least 4 years of experience with machine learning
 * At least 4 years of experience with SQL
 * At least 1 year of experience with people management or project management
 * At least 1 year of experience working with AWS

## Description

The Business Cards and Payments (BC&P) Credit Infrastructure Team owns the end-to-end development of valuations models, monitoring, advanced analytics and systemized tooling for the Business Cards and Payments (BCP) organization. We are hiring a Data Scientist on the credit card acquisitions valuations model development team to empower credit programs in BCP through robust valuations models and tools that support use of those models.

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


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