Economist

About the Role

The Economic Research team at Openai is continuously working to improve our understanding of an AI-driven economy. As an Economist, you will be working closely with other researchers, data scientists, and policymakers to produce rigorous empirical work that informs decision-makers across the public, industry, and government. Your research will focus on studying the economic impacts of AI, including its effects on labor markets, firm behavior, market dynamics, and macroeconomic change.

What You Will Do

• Design and execute empirical research using large-scale observational or experimental data to study AI-driven economic change
• Apply causal inference and structural modeling techniques to estimate the economic impacts of AI
• Collaborate with cross-functional teams to translate research questions into testable frameworks and applicable takeaways
• 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
• Stay up-to-date with the latest research and developments in the field of AI and economics
• Participate in seminars, workshops, and conferences to present your research and learn from others
• Collaborate with other researchers and policymakers to inform decision-making on AI-related issues

What We Are Looking For

• A PhD in Economics or a related quantitative field
• 3-5 years of relevant work experience in 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 languages such as Python or R
• Research experience 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
• Excellent communication and collaboration skills

Nice to Have

• Experience working with cloud-based data platforms and tools
• Familiarity with machine learning algorithms and techniques
• Experience with data visualization tools and techniques
• Knowledge of programming languages such as Java or C++

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a talented and diverse team of researchers and engineers
• Collaborative and dynamic work environment
• Professional development opportunities, including conference travel and training
• Flexible working hours and remote work options
• Access to cutting-edge technology and tools
• Comprehensive health insurance and retirement plan
• Generous paid time off and holiday policy

• Tip: Make sure to highlight your technical skills in econometrics, data science, and machine learning, as well as your research experience and ability to collaborate with cross-functional teams.
• Tip: Be prepared to provide examples of your research experience and how you've applied econometric techniques to study economic phenomena.
• Tip: Showcasing your ability to communicate complex research findings to non-technical audiences is crucial, so be prepared to provide examples of your writing and presentation skills.
• Tip: Familiarize yourself with Openai's research and products, and be prepared to discuss how your skills and experience align with the company's mission and goals.
• Tip: Don't be afraid to ask questions during the interview process, such as what a typical day looks like in the role or what opportunities there are for professional development and growth.
• Tip: Be prepared to negotiate your salary and benefits package, and don't be afraid to ask about perks such as flexible working hours or professional development opportunities.