Research Scientist: AI and Economics, High-Impact Research

Google; New York (NY); Hybrid; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Research Scientist in AI and Economics in New York or Mountain View. The role focuses on empirical economic research, causal analysis, and applying ML to measure AI's impact on productivity and labor markets. You will publish findings and collaborate with engineers, policy, and product teams.

The position emphasizes publishing in top venues, translating complex econ insights for diverse audiences, and driving high-visibility projects within the AI and Economy team.

Qualifications

• PhD in Economics, Quantitative Social Sciences, Statistics, or 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.

Responsibilities

• Conceptualize, execute, and publish peer-reviewed economic research, working papers, and research blogs evaluating the effects of AI on the economy.
• Apply causal frameworks to understand economic mechanisms from observational data.
• Pioneer new applications of LLMs, NLP, and ML techniques to extract high-fidelity economic signals from large datasets.
• Bridge standard econometrics with scalable data science workflows in Python.
• Advise cross-functional partners on data-driven economic strategy and policy implications.

Skills

Python

Pandas

NumPy

PyTorch/Jax

scikit-learn

statsmodels

Causal inference

Experimental design

Econometrics

First-author papers

Education

PhD in Economics

Tools

Pandas

NumPy

PyTorch/Jax

scikit-learn

statsmodels

Job description

Google is seeking a Research Scientist in AI and Economics in New York or Mountain View. The role focuses on empirical economic research, causal analysis, and applying ML to measure AI's impact on productivity and labor markets. You will publish findings and collaborate with engineers, policy, and product teams.

The position emphasizes publishing in top venues, translating complex econ insights for diverse audiences, and driving high-visibility projects within the AI and Economy team.