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About the Role

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 to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. The AI in Credit team is developing the next generation of predictive models to forecast how customers use their Capital One cards. We are a cross-functional collaboration that spans across the entire company, with scientists and engineers specializing in applied credit, deep learning, and high performance computing. Join us as we push the boundary of data-driven credit decisioning.

Responsibilities

Develop modeling approaches to forecast credit outcomes in a rapidly changing economic environment
Apply cutting-edge explainability techniques to identify insights from complex models
Develop frameworks for AI-model-based decisioning in a highly regulated industry
Collaborate on a cross-functional team with a wide range of specializations and experience

Requirements

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 (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
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 Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
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 PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Master’s Degree in an applied research field (physics/astronomy, chemistry, biology, engineering, operations research, sociology, etc.) plus 3 years of experience in data science, or PhD in an applied research field
Experience in explainability a big plus
Experience with distributed computing a plus
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with machine learning

Skills

Data analysis
Statistical modeling
Machine learning
Explainability techniques
Deep learning
High performance computing
Python
Scala
R

Location

McLean, VA
New York, NY
Richmond, VA

Work Type

Full-time

Experience Level

Principal Associate

Education Level

Bachelor's Degree
Master's Degree
MBA
PhD

Salary/Compensations

McLean, VA: $161,800 - $184,600
New York, NY: $176,500 - $201,400
Richmond, VA: $147,100 - $167,900

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

About the Company

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

Equal Opportunity

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
Capital One promotes a drug-free workplace.
Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.