Role Overview
The Global Payment Network Data Solutions and Modeling team builds machine learning and AI agents to drive foundational, scalable intelligence capabilities that power smarter business decisions and unlock new value across the payments ecosystem.
What You Will Do
Partner with a cross-functional team to deliver a product customers love, leverage a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data, build machine learning models through all phases of development, and translate the complexity of your work into tangible business goals.
Why It Might Be a Fit
The ideal candidate is a leader, innovative, creative, and technical, with hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Requirements
- 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 9 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 7 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 4 years of experience performing data analytics
- At least 4 years of experience leveraging open source programming languages for large scale data analysis
- At least 4 years of experience working with machine learning
- At least 4 years of experience utilizing relational databases
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits
- Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
- Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level
To apply for this job please visit capitalone.wd12.myworkdayjobs.com.

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