Director, Data Scientist - US Card

Capital One • McLean, VA

2d

About The Position

The Director, Data Scientist will work within Capital One’s US Card Data Science organization, which uses customer data to drive business strategy and create customer experiences. The organization builds and deploys data science and machine learning models across the credit card lifecycle, including marketing, acquisitions, underwriting, and fraud prevention. The role turns complex insights into practical impact on financial products serving cardholders.

The position partners with data scientists, software engineers, and product managers to deliver customer-focused products. It uses technologies such as Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data, and builds machine learning models from design through training, evaluation, validation, and implementation. The role also translates technical work into business goals and provides leadership, including talent development.

Requirements

• Currently hold, or be in the process of obtaining by the scheduled start date, a bachelor’s degree in a quantitative field plus 9 years of data analytics experience; a master’s degree in a quantitative field or an MBA with a quantitative concentration plus 7 years of data analytics experience; or a Ph.D. in a quantitative field plus 4 years of data analytics experience.
• At least 4 years of experience using open-source programming languages for large-scale data analysis.
• At least 4 years of experience working with machine learning.
• At least 4 years of experience using relational databases.
• Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Experience building, validating, and backtesting models, and interpreting confusion matrices or ROC curves.
• Experience with clustering, classification, sentiment analysis, time series, and deep learning.
• Ability to retrieve, combine, and analyze data from varied sources and structures.

Nice To Haves

• Ph.D. in a STEM field plus 5 years of experience in data analytics.
• At least 1 year of experience working with AWS.
• At least 3 years of experience managing people.
• At least 5 years of experience using Python, Scala, or R for large-scale data analysis.
• At least 5 years of experience with machine learning.

Responsibilities

• Partner with data scientists, software engineers, and product managers to deliver products customers value.
• Use technologies including Python, Conda, AWS, H2O, and Spark to uncover insights in large volumes of numeric and textual data.
• Build machine learning models through design, training, evaluation, validation, and implementation.
• Translate complex technical work into tangible business goals.
• Challenge conventional thinking and work with stakeholders to identify and improve existing approaches.
• Develop talent within the team and beyond.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being.
• Eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

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