> Markdown version of [/jobs/ext/3996679-senior-associate-data-scientist-us-card-dfs-integration](https://www.wearedevelopers.com/jobs/ext/3996679-senior-associate-data-scientist-us-card-dfs-integration). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Associate, Data Scientist - US Card DFS Integration - **Company:** Capital One Financial Corporation - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $123,300.0 - $140,700.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Big Data, Python (Programming Language), Machine Learning, Sentiment Analysis, SQL Databases, Apache Spark, Deep Learning, Information Technology, Data Analytics - **Published:** October 28, 2026 - **Apply:** https://www.capitalonecareers.com/job/chicago/senior-associate-data-scientist-us-card-dfs-integration/1732/102515125504 ## 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. * 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., * 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, * Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) * Experience working 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 ## Description The Discover Card Customer Management Data Science team is responsible for ensuring all models used to underwrite the Discover Card portfolio are well-managed and creating the destination state that builds on the best of both worlds from both Discover's models and Capital One's 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