Capital One is looking to solve the problem of unlocking big opportunities to help everyday people save money, time, and agony in their financial lives by leveraging data science and machine learning technologies.
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
- At least 1 year of experience working with AWS
- At least 3 years’ experience in Python, Scala, or R
- At least 3 years’ experience with machine learning
- At least 3 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 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, A Master's Degree in a quantitative field, or a PhD in a quantitative field
- Ability to work in a team environment, collaborating closely with cross-functioning teams
- Must be authorized to work in the US
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
- Travel requirements not specified
