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In this role, you will:
build machine learning models end-to-end, from ideation through training, validation, and deployment
influence our business leaders to make better data-driven decisions by conducting rigorous statistical analyses of various business strategies
partner with a cross-functional team of data scientists, data engineers, software engineers, business analysts, marketers and product managers to deliver a product customers love
leverage a broad stack of technologies — Python, SQL, Cloud services and more — to build and monitor models and deliver transformational insights from data
is technical. You have hands-on experience developing data science solutions using open-source packages. You’re comfortable with Python, SQL, command line, AWS, etc. and are passionate about developing these skill sets further. You are able to write well documented and efficient code that is production-grade and that your team can leverage. You know how to work with messy data sources.
is statistically-minded. You understand statistical concepts like sampling, bias, uncertainty, etc. and can reason using these principles. You know how to interpret the outputs of standard statistical models. You have experience with hypothesis testing, regression models, classification models and clustering.
has strong written and verbal communication skills. Your documentation clearly articulates your thinking and you can communicate results well to your peers and other technical and business leaders.
is a self-starter and a creative problem solver
Basic Qualifications:
Currently has, or is in the process of obtainingone of the followingwith 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
Preferred Qualifications:
Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Physics or related disciplines.
At least 2 years of experience with Python, SQL and scripting
At least 2 years of experience working with and analyzing large datasets
At least 2 years of experience building, analyzing and deploying machine learning models
Exposure to a broad array of modeling methodologies including Gen AI
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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