Capital One is looking to leverage data science and machine learning technologies to analyze billions of customer records and identify opportunities to help customers save money, time, and reduce friction in their financial lives.
Requirements
- At least 1 year of experience leveraging open source programming languages for large scale data analysis
- At least 1 year of experience working with machine learning
- At least 1 year of experience utilizing relational databases
- At least 1 year of experience working with AWS
- At least 4 years’ experience in Python, Scala, or R for large scale data analysis
- At least 4 years’ experience with machine learning
- At least 4 years’ experience with SQL
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
- Retrieve, combine, and analyze data from a variety of sources and structures
- Build models, validate them, and backtest them
Other
- Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing.
- Innovative. You continually research and evaluate emerging technologies.
- Creative. You thrive on bringing definition to big, undefined problems.
- A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
