Economist

Responsibilities

• Design and execute empirical research using large-scale observational or experimental data.
• Apply causal inference and/or structural modeling techniques to study AI-driven economic change.
• Collaborate with cross-functional teams to translate research questions into testable frameworks and applicable takeaways across policy, product, and the organization.
• Produce policy-relevant outputs, including academic papers, technical reports, and briefings.
• Contribute to the development of new measurement approaches for AI’s economic impact.
• Use AI across responsibilities to scale research impact.

Requirements

• PhD in Economics or a related quantitative field.
• 3–5 years of relevant work experience (industry or policy research).
• Strong background in econometrics and applied microeconomics.
• Demonstrated experience working with large or complex datasets, with demonstrated proficiency in SQL.
• Proficiency in statistical programming (e.g., Python, R).
• Research related to labor economics, industrial organization, macroeconomics, or technological change.
• Experience working with platform, labor market, or firm-level data.
• Familiarity with causal inference, machine learning methods, or structural modeling.

Research Areas of Interest

• Economic Measurement of AI Impact (e.g., adoption trajectories, labor market transitions, productivity growth, and forecasting/scenario modeling for AI-driven economic change).
• Macroeconomic Implications of AI (e.g., productivity, technology diffusion, economic growth).
• AI and the Labor Market (e.g., employment, wages, job search, task-level impacts, skill acquisition).