Capital One is looking to solve complex problems in the Commercial Bank Team with a $100B+ loan portfolio, using data-driven decision-making to help everyday people save money, time, and agony in their financial lives.
Requirements
- Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
- Experience with clustering, classification, sentiment analysis, time series, and deep learning
- Experience working with AWS
- At least 2 years’ experience in Python
- At least 2 years’ experience with machine learning
- At least 2 years’ experience with SQL
Responsibilities
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, 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
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Other
- Currently has, or is in the process of obtaining 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
- 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
- Must be willing to accept applications for a minimum of 5 business days
- Must be eligible to work in the United States
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
