As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records
Job Summary
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records.
In the Consumer Credit Risk Management Models and Data Team, we blend cutting-edge quantitative methods, with a deep understanding of our business, data, and regulatory environment to build and deploy predictive models for losses, account volumes and outstanding balances.
As a Data Scientist on the deployment & platform side of the team, you’ll be at the forefront helping us to usher in the next wave of disruption by using the latest technology to deploy, optimize and modernize model pipelines and execution platforms.
Matching Summary
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records.
Salary
Base: $135,600 - $154,800; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits
Skills & Requirements
Must-have
deploy machine learning models
Python, Conda, AWS, Spark
quantitative methods
econometric loss models
data-driven decision-making
Nice-to-have
customer first mindset
collaborative environment
continuous learning
rewarding innovation
Key Requirements
Bachelor's Degree in quantitative field + 2 years data analytics
Master's Degree in quantitative field or MBA with quantitative concentration
Master’s Degree in STEM field or PhD in STEM field