Economist
Economist (up to 5 years post-PhD) conducting empirical research on AI’s economic impacts using large datasets, causal inference, and structural modeling. Requires PhD and strong econometrics/SQL/Python skills.
About the job
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).
Skills
SQL, Python, R, Econometrics, Causal Inference, Structural Modeling, Machine Learning, Applied Microeconomics, Labor Economics, Industrial Organization, Macroeconomics
Similar jobs
Data Science jobsThis senior data scientist will define measurement frameworks for AI-agent security, evaluate controls and security findings, and improve detection and response outcomes. The role requires 5+ years of quantitative experience, strong SQL and Python skills, and experience with cybersecurity or other adversarial-risk domains.
The Data Scientist will shape analytics strategy and deliver forecasting, experimentation, optimization, dashboards, models, and decision tools for Real Estate & Workplace operations. The role requires strong applied statistics, causal inference, SQL, Python, stakeholder communication, and comfort working with ambiguous operational data.
People Data Scientist focused on AI fairness and bias testing for People systems. Designs algorithmic audits, validation studies, and fairness infrastructure across the employee lifecycle. Requires deep expertise in fairness metrics, statistical modeling, and Python/R/SQL.
Develops scientifically rigorous sustainability methodologies that become product capabilities for corporate climate and ESG data. The role combines climate expertise, GHG accounting, standards interpretation, data reasoning, and hands-on collaboration with engineers and product teams.
Senior Data Scientist supporting Plaid’s Credit product area, translating ambiguous product questions into analytics, metrics, experiments, and strategic insights. The role partners closely with product and engineering teams and requires 5+ years of data science or related analytics experience.