Senior Director, Data Science (Remote-Eligible)

Capital One • McLean, VA

1d • $286,200 - $359,300 • Remote

About The Position

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.
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.

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 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
• 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 or part-time status, exempt or non-exempt status, and management level.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior