Capital One has evolved from a modest credit-card pioneer in 1988 into a Fortune 200 powerhouse that treats data as the engine behind every strategic move. The bank now runs on a cloud-first model leverages open-source ecosystems, and deploys artificial intelligence to serve more than 100 million customers worldwide. Within this data-centric framework, the Consumer and Developer Experience (CDX) group designs the digital touchpoints, marketing engines, and vendor-management tools that shape everyday banking.
The company is actively recruiting a senior leader to steer the next wave of data-driven innovation. The position—Director, Data Science – Consumer and Developer Experience—is remote-eligible and anchored in several office hubs, including McLean, VA; Richmond, VA; New York, NY; Chicago, IL; Riverwoods, IL; and San Francisco, CA. Reporting to the CDX product-strategy leadership, the director will blend strategic foresight, product acumen, and advanced analytics to influence billions of customer interactions.
Key responsibilities and technology stack
In this role, the director partners with software engineers, business analysts, and product managers to craft solutions that delight customers while moving key business metrics. The day-to-day work involves extracting insights from massive numeric and textual datasets using a Python-centric stack, CondaApache Spark and H2O on AWS. Candidates will design, train, evaluate, and validate machine learning models—ranging from clustering and classification to sentiment analysis and deep-learning time-series forecasts—before deploying them at scale.
Beyond model development, the director must translate complex analytical findings into clear, actionable business goals. This demands strong communication skills to bridge technical depth with stakeholder expectations, ensuring that AI-powered products are both technically robust and commercially viable.
Who thrives in this role – skills, education, and experience
The ideal candidate puts the customer first, viewing data as a means to improve financial well-being. They stay abreast of emerging state-of-the-art methods continuously evaluating new tools and techniques. Leadership qualities are essential: the ability to challenge the status quo, mentor cross-functional teams, and champion talent development. Technically, the director must be fluent in open-source languages, comfortable with cloud platforms, and proficient in statistical validation—understanding concepts like confusion matrices, ROC curves, and back-testing procedures.
Educationally, the role welcomes candidates with a bachelor’s degree in a quantitative discipline plus nine years of analytics experience, a master’s degree with seven years, or a PhD with four years of relevant work. Required experience includes at least four years of large-scale data analysis using open-source tools, four years of hands-on machine learning and four years managing relational databases. Preferred qualifications add a PhD in a STEM field, a minimum of one year with AWS three years of people-management experience, and five years of Python, Scala, or R for big-data workloads.
Compensation, benefits, and inclusive culture
Capital One offers a competitive salary band that varies by location: remote or Chicago roles range from $244,700 to $279,200; McLean, VA from $269,100 to $307,200; New York, NY and San Francisco, CA from $293,600 to $335,100. In addition to base pay, the position is eligible for performance-based incentives, including cash bonuses and long-term equity awards. The company provides a comprehensive benefits package covering health, financial wellness, and family support, coupled with flexible work arrangements and a commitment to diversity, equity, and inclusion.
Capital One also supports candidates who require sponsorship for employment authorization and welcomes applicants from all backgrounds. Remote work is embraced across the United States, allowing the new director to collaborate with teams nationwide while maintaining a balanced personal and professional life.
