Senior Associate, Data Scientist - Consumer Credit Risk Models and Data

As a Senior Associate, Data Scientist on the Consumer Credit Risk Models and Data Team at Capital One, you will be part of a team that's leading the next wave of disruption using the latest in computing and machine learning technologies. You will partner with best-in-class data scientists, analysts, and engineers to innovate solutions that directly impact the company's bottom line.

The Consumer Credit Risk Management Models and Data Team builds and deploys predictive models for losses, account volumes, and outstanding balances. These models drive key strategic decisions for loss allowances, stress testing, and capital allocation.

In this role, you will:

• Partner with a cross-functional team to deliver a product customers love
• Leverage a broad stack of technologies, including Python, Conda, AWS, H2O, Spark, and more, to reveal 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
• Translate the complexity of your work into tangible business goals

The ideal candidate is innovative, creative, technical, statistically-minded, and a data guru. You should be comfortable with open-source languages and have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

Basic qualifications include a Bachelor's Degree in a quantitative field plus 2 years of experience performing data analytics, or a Master's Degree in a quantitative field or an MBA with a quantitative concentration.

Preferred qualifications include a Master's Degree or PhD in a STEM field, experience working with AWS, and at least 2 years of experience in Python, Scala, or R.

This role is full-time and located in McLean, VA, with a salary range of $135,600 - $154,800 per year. The role is also eligible to earn performance-based incentive compensation.