Principal Data Scientist

Capital One is seeking a Principal Data Scientist to join their Community Impact and Investment team. This role combines data science expertise with social impact, focusing on developing insights that drive community investments and financial well-being. The position involves leveraging advanced technologies including Python, R, AWS, and Spark to analyze diverse data sources and create meaningful insights for community impact initiatives.

The ideal candidate will work on developing and validating causal inference models, solving complex data challenges, and translating findings into actionable recommendations. They should be passionate about social impact, innovative in applying new methodologies, and skilled in statistical analysis and programming.

Key responsibilities include partnering with cross-functional teams, working with large-scale datasets in cloud environments, and conducting research that may lead to external publications. The role requires expertise in causal inference methods, proficiency in R and Python, and experience with machine learning and relational databases.

The position offers competitive compensation ranging from $158,600 to $181,000 in McLean, VA, and $153,900 to $188,500 in Chicago, IL, plus performance-based incentives. Capital One provides a comprehensive benefits package and promotes a diverse, inclusive workplace environment.

This is an excellent opportunity for a data science professional who wants to combine technical expertise with meaningful social impact work, while being part of a leading financial institution that values innovation and data-driven decision making.