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Senior Manager, Data Science – AI Foundations, Specialist Models
Capital OneSenior Manager, Data Science at Capital One leading AI foundation efforts. Collaborating across teams to develop machine learning models and data-driven solutions for business problems.
Posted 6/25/2026full-timeMcLean • California, New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $286,200 per yearWebsite
Tech Stack
Tools & technologiesAWSOpen SourcePythonSpark
About the role
Key responsibilities & impact- Partner with a cross-functional team of data scientists, software engineers, and product managers to build a next-generation entity resolution solution that leverages cutting-edge machine learning approaches to solve real-world business problems
- Leverage a broad stack of technologies — Python, AWS, Spark, modern state of the art models like transformers, graph ML, 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
- Leverage Agentic AI tools and workflows to build and test
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Requirements
What you’ll need- 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
Benefits
Comp & perks- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
ATS Keywords
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Hard Skills & Tools
Pythonmachine learningdata analyticsrelational databasestransformersgraph MLdata analysismodel evaluationmodel validationmodel implementation
Soft Skills
interpersonal skillscommunication
Certifications
Bachelor's DegreeMaster's DegreePhD