# Economist

**Company**: OpenAI
**Location**: San Francisco
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full time
**Salary**: $266K - $385K
**Category**: Finance
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q124605186

**Apply**: https://jobs.ashbyhq.com/openai/9ac67097-139b-4e3c-8c13-e9a6be26cf1b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e1d42501-b4f

## Description

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.

**Requirements**

- 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).

- 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.

**Compensation**

- San Francisco $266K – $385K • Offers Equity

- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

- 401(k) retirement plan with employer match

- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time

- Mental health and wellness support

- Employer-paid basic life and disability coverage

- Annual learning and development stipend to fuel your professional growth

- Daily meals in our offices, and meal delivery credits as eligible

- Relocation support for eligible employees

## Skills

### Required
- PhD in Economics
- Econometrics
- Applied Microeconomics
- SQL
- Python
- R
- Causal Inference
- Machine Learning
- Structural Modeling

### Nice to have
- Labor Economics
- Industrial Organization
- Macroeconomics
- Technological Change
- Platform Data
- Firm-level Data

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/9ac67097-139b-4e3c-8c13-e9a6be26cf1b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)