Research Scientist, AI and Economics
Remote$207k - $300kPosted 3w ago
About the role
Research Scientist focused on empirical economic research at the AI and Economy team, applying causal methods and modern ML/NLP techniques to measure AI's effects on the economy and to translate findings for multiple audiences.
Responsibilities
- Conceptualize, execute, and publish peer-reviewed economic research, working papers, and research blogs evaluating the effects of AI on the economy. Output form-factor may vary.
- Apply causal frameworks (e.g., difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, quasi-experiments) to understand economic mechanisms from observational data.
- Pioneer new applications of Large Language Models (LLMs), natural language processing, and modern machine learning techniques to structure, classify, and extract high-fidelity economic signals from massive unstructured datasets and product logs.
- Bridge standard econometrics with scalable data science workflows in Python, ensuring methodological matches production-scale execution.
- Advise cross-functional partners in Research, GDM Google Cloud, Policy, and Product leadership on data-driven economic strategy and potential policy implications.
Qualifications
- PhD in Economics, Quantitative Social Sciences, Statistics, or a related quantitative field, or equivalent practical experience.
- 4 years of post-PhD research experience in academia, research institutes, or industry research labs.
- Experience with causal inference, experimental or quasi-experimental design, and applied econometrics.
- One or more first-author papers accepted at or published in economics journals or peer-reviewed AI/CS venues.
- Experience in Python and standard scientific computing/ML libraries such as pandas, NumPy, PyTorch/Jax, scikit-learn, statsmodels.
Skills
Required:Causal inferenceEconometricsPythonML/Data Science Libraries
Last updated Oct 23, 2026. Interested? Apply on the company site.
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