Senior Director, Data Science (Remote-Eligible)

About the role

The Intelligent Foundations and Experiences (IFX) group within Capital One is dedicated to advancing the state of the art in science and AI engineering. The Emerging AI Patterns team focuses on revolutionizing how Capital One develops, deploys, and manages a large number of machine learning models through Agentic AI systems.

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
• Absess, 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

Requirements

• A leader who challenges conventional thinking and works with stakeholders to identify and improve the status quo
• A creative individual who thrives on bringing definition to big, undefined problems and loves asking questions and pushing hard to find answers
• A technically minded person with hands-on experience developing data science solutions using open-source tools and cloud computing platforms
• A statistically-minded individual with experience building models, validating them, and backtesting them
• Experience with clustering, classification, sentiment analysis, time series, and deep learning

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