Capital One is looking to leverage data-driven decision-making to disrupt the credit card industry and help everyday people save money, time, and agony in their financial lives by unlocking opportunities hidden within billions of customer records.
Requirements
- Experience performing data analytics
- 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
- Experience with clustering, classification, sentiment analysis, time series, and deep learning
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
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Continually research and evaluate emerging technologies
- Stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them
- Develop further in open-source languages
- Retrieve, combine, and analyze data from a variety of sources and structures
Other
- 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.
- Statistically-minded. You’ve built models, validated them, and backtested them.
- A data guru. “Big data” doesn’t faze you.
