Capital One is looking to leverage data science and machine learning to disrupt the credit card industry by personalizing credit card offers and unlocking opportunities that help everyday people save money, time, and agony in their financial lives.
Requirements
- 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, Scala, or R
- At least 2 years’ experience with machine learning
- At least 2 years’ experience with SQL
- Comfortable with open-source languages
Responsibilities
- 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
- Contribute to the model governance of the next generation of machine learning models
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Translate the complexity of your work into tangible business goals
- Retrieve, combine, and analyze data from a variety of sources and structures
- Research and evaluate emerging technologies
Other
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
- Innovative. You continually research and evaluate emerging technologies.
- Creative. You thrive on bringing definition to big, undefined problems.
- A data guru. “Big data” doesn’t faze you.
