Role Overview
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption in data-driven decision-making. The Commercial Bank Applied AI team specializes in building enterprise-grade architectures using advanced techniques such as Multi-Agent Systems and Advanced RAG.
What You Will Do
You will partner with a cross-functional team to deliver Generative AI solutions, leverage a broad stack of technologies to build Multi-Agent systems and advanced RAG pipelines, and build Generative AI models and pipelines through all phases of development.
Why It Might Be a Fit
The ideal candidate is deeply passionate about the practical applications of Generative AI and brings hands-on experience in machine learning and AI, gained through either professional industry work or rigorous academic research.
Requirements
- 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
- 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
- At least 2 years of experience in Python, Scala, or R
- At least 2 years of experience with machine learning
- At least 2 years of experience with SQL
- At least 1 year of experience in AI, Information Retrieval, Deep Learning, or NLP
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits
- Performance-based incentive compensation, including cash bonus(es) and/or long term incentives (LTI)
- Dental insurance
- Vision insurance
- Paid holidays
- Relocation assistance
- Visa sponsorship available
To apply for this job please visit capitalone.wd12.myworkdayjobs.com.

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