Manager Data Scientist

Data Scientist

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by personally tailoring offers using statistical modeling and relational databases, cutting‑edge technology in 1988. That innovation, paired with a passion for data, has grown us into a Fortune 200 leader in data‑driven decision making.

As a Data Scientist at Capital One, you’ll contribute to the next wave of disruption on a whole new scale, using the latest in computing and machine learning across billions of customer records to unlock opportunities that help everyday people save money, time, and pain in their financial lives.

The Mainstreet Customer Management Valuation Data Science team builds machine learning models that enable better business decisions by performing rigorous statistical analysis and developing tools to support policy design and optimization for the Mainstreet Credit Line Increase Programs. We partner closely with business stakeholders to develop various valuation models using Spark, Python, Databricks, and Kubeflow. In this role, you will learn extensively about Capital One’s core MS CLIP business, model governance, card data, and the broader modeling ecosystem while enjoying a collaborative team environment.

• Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver products that customers love.
• Leverage a broad technology stack—including Python, Conda, AWS, H2O, Spark, and more—to uncover insights from large volumes of numeric and textual data.
• Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation.
• Translate the complexity of your work into tangible business goals using strong interpersonal skills.

• Statistically minded: you’ve built, validated, and backtested models, interpret confusion matrices and ROC curves, and have experience with clustering, classification, sentiment analysis, time series, and deep learning.
• Technically skilled: comfortable with open‑source languages, passionate about open‑source development, and experienced with cloud platforms.
• A leader: challengers of conventional thinking who work with stakeholders to identify and improve the status quo, and who are passionate about talent development within your team and beyond.

• 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:
  • Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 6 years of data analytics experience.
  • Master’s Degree in a quantitative field or an MBA with quantitative concentration plus 4 years of data analytics experience.
  • PhD in a quantitative field plus 1 year of data analytics experience.
• 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 (Science, Technology, Engineering, or Mathematics) plus 3 years of data analytics experience.
• 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 machine learning.
• At least 4 years’ experience with SQL.

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

Salary information:
McLean, VA—$197,300–$225,100 for Manager, Data Science. Salaries for other locations will be determined based on the specific location and offered Salary Range.

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

This role is expected to accept applications for a minimum of 5 business…