Role Overview
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
What You Will Do
You will evaluate emerging vendors and data products, engineer high-impact features, build scalable processing and monitoring systems, and serve as the dedicated data domain expert guiding all users on dataset applications.
Why It Might Be a Fit
The ideal candidate is innovative, creative, technical, statistically-minded, and a data guru with experience working with AWS, Python, Scala, or R, and machine learning.
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
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- Experience working with AWS
- At least 2 years’ experience in Python, Scala, or R
- At least 2 years’ experience with machine learning
- At least 2 years’ experience with SQL
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits
- Performance based incentive compensation
- Cash bonus(es) and/or long term incentives (LTI)
- Dental insurance
- Vision insurance
- Other benefits (not specified)
To apply for this job please visit capitalone.wd12.myworkdayjobs.com.

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