Capital One is looking to solve the problem of providing an optimal credit line to high-value customers through the development of industry-leading machine learning models.
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
- PhD in 'STEM' field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
- 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 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
- 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.
- A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.
- Travel requirements not specified
