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As a Data Science Leader 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 Intelligent Foundations and Experiences (IFX) group is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering. The Emerging AI Patterns team within IFX group is a new strategic initiative to explore and operationalize cutting-edge AI paradigms like Agentic frameworks, multi-agent collaboration. We are specifically focused on revolutionizing how Capital One develops, deploys, and manages a large number of machine learning models through Agentic AI systems.

In this role, you will:

• Partner with a cross-functional team of software engineers, distinguished researchers, and solutions architects to drive great decisions through modeling

• Define and drive towards an end state that is based on simplicity and the adoption of digital technologies, cloud hosting, and open source software.

• Distill the details of complex interconnected modeling systems to influence senior business leaders on model strategy, business use, and risks

• Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners

• Shape our practice of building machine learning models, from design through training, evaluation, validation, and implementation

• Oversee development of benchmark and challenger models to stress test critical modeling decisions

The Ideal Candidate is:

• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.

• 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.

• 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 11 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 9 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 6 years of experience performing data analytics

• At least 6 years of experience leveraging open source programming languages for large scale data analysis

• At least 6 years of experience working with machine learning

• At least 6 years of experience utilizing relational databases

Preferred Qualifications:

• PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics

• At least 6 years of experience in Python, Scala, or R for large scale data analysis

• At least 6 years of experience with machine learning

• At least 2 year of experience working with AWS

• At least 6 years of experience with complex architectural patterns (SOA), building APIs, microservices, and event streams

• At least 6 years of experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar

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

Capital One is open to hiring a Remote Employee for this opportunity.