About the job
We are seeking a highly technical Economist to join the OpenAI Economic Research team studying the real-world economic impacts of AI. This role is designed for economists with up to 5 years of professional experience post-Ph.D. who are interested in using novel, large-scale datasets to study how AI is reshaping economic systems.
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 our 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 your responsibilities to scale your research impact.
Qualifications
Minimum
- A 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).
Preferred
- 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.