Manager, Economic Modeling

What you'll do

• Translate broad business questions into well-defined causal effects, identification strategies, and empirical designs.
• Develop causal analyses to evaluate the impacts of events, business decisions, and market changes.
• Lead projects through the full lifecycle from data ingestion and feature engineering to model validation.
• Prototype causal inference methods and convert them into scalable, productized analytics.
• Guide the team in using causal inference tools and following scientific best practices.
• Communicate technical results and complex economic findings clearly to non-specialist stakeholders.
• Stay current with research methods and experiment with new econometric and machine learning approaches.

What we're looking for

• Ph.D. or Master’s in Economics, Econometrics, Marketing, Finance, Public Policy, or a closely related quantitative field.
• Multiple years of relevant experience in a technically focused environment, although exceptional new PhDs may also be considered.
• Proficiency in Python or R and working knowledge of SQL.
• Strong training and experience applying quasi-experimental methods such as difference-in-differences, synthetic control, RDD, and IV.
• Experience with causal machine-learning methods and experimentation in a business setting.
• Proficiency in using AI tools for coding, research, documentation, and rapid prototyping with appropriate data-governance judgment.
• Ability to communicate technical work clearly to non-specialists in writing and in client presentations.