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Manager, Data Scientist - Business Cards & Payments Credit Infrastructure Team

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

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 computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The Business Cards and Payments (BC&P) Credit Infrastructure Team owns the end‑to‑end development of valuation models, monitoring, advanced analytics, and systemized tooling for the Business Cards and Payments (BCP) organization. We are hiring a Data Scientist on the credit card acquisitions valuation model development team to empower credit programs in BCP through robust valuation models and tools that support the use of those models.

In this role, you will:

• 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

The Ideal Candidate is:

• Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
• Technical. You’re comfortable with open‑source languages and are passionate about developing further. You have hands‑on experience developing data science solutions using open‑source tools and cloud computing platforms.
• Statistically‑minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

Basic Qualifications:

• 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 6 years of experience performing data analytics
  • 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 4 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
• 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

Preferred Qualifications:

• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
• At least 4 years of experience in Python, Scala, or R for large‑scale data analysis
• At least 4 years of experience with machine learning
• At least 4 years of experience with SQL
• At least 1 year of experience with people management or project management
• At least 1 year of experience working with AWS

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Compensation and Benefits

The minimum and maximum full‑time annual salaries for this role are listed below, by location. Salaries are prorated for part‑time roles. McLean, VA: $197,300 – $225,100 for Manager, Data Science. This role is eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI).

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full‑time or part‑time status, exempt or non‑exempt status, and management level.

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.