> Markdown version of [/jobs/ext/3407670-senior-manager-data-science-us-card-resiliency-intelligence](https://www.wearedevelopers.com/jobs/ext/3407670-senior-manager-data-science-us-card-resiliency-intelligence). 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 Manager, Data Science - US Card (Resiliency Intelligence)

- **Company:** Capital One Financial Corporation
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $229,900.0 - $262,400.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Big Data, Relational Databases, Python (Programming Language), Machine Learning, Open Source Technology, Sentiment Analysis, Reinforcement Learning, Cloud Platform System, Apache Spark, Deep Learning, Scikit Learn, Information Technology, Data Analytics, Xgboost
- **Published:** September 30, 2026
- **Apply:** https://www.capitalonecareers.com/job/mclean/senior-manager-data-science-us-card-resiliency-intelligence/1732/101318745520

## 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.
 * 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., * 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 7 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 5 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 2 years of experience performing data analytics
 * At least 2 years of experience leveraging open source programming languages for large scale data analysis
 * At least 2 years of experience working with machine learning
 * At least 2 years of experience utilizing relational databases, * PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics
 * At least 1 year of experience working with AWS
 * At least 1 year of experience managing people
 * At least 5 years' experience in Python, Scala, or R for large scale data analysis
 * At least 5 years' experience with machine learning

## Description

The Mainstreet Growth and Resiliency team helps identify new customers and improve financial resiliency through personalized solutions at scale. Sustainable growth is essential for the business and crucially important for customers that encounter financial hardship who need personalized resources to resolve outstanding balances. To achieve this, we use supervised and reinforcement learning models to predict customer needs and recommend optimal solutions. We write custom Python libraries and use open-source ML libraries like XGBoost, scikit-learn, and stats models. Our models define the treatment for millions of customers on a daily basis and your code will run in analytical and production environments., * 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


## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Shoot for the moon - machine learning for automated online ad detection](https://www.wearedevelopers.com/videos/502-shoot-for-the-moon-machine-learning-for-automated-online-ad-detection)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Let's Get Aggregated: Custom UDAFs in Spark  ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark)
- [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions)

## Related Articles

- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)