Economics Expert in Modeling and Causal Analysis

You will support economic analysis and modeling for real-world business and policy questions. The work involves applying economic reasoning, econometric methods, and statistical analysis to real datasets and producing clear, well-supported conclusions.

• Build empirical models using regression, panel data, causal inference, and other statistical methods.
• Improve model quality through variable construction, robustness checks, and sensitivity analysis.
• Document methods, assumptions, and analytical choices clearly.
• Explain analytical conclusions in a way that is accessible to non-specialists.

This is project-based analytical work for a quantitative professional who can work independently on technical tasks. Helpful experience includes causal inference, econometrics, programming, applied machine learning, empirical analysis, or teaching statistics and econometrics.

• Experience: 1 to 3 years in economics, econometrics, policy analysis, data analytics, or a related quantitative field.
• Education: A master’s degree in economics, econometrics, public policy, or a related quantitative discipline is required.
• Research: At least one first-author publication or equivalent first-author work.
• Skills: Strong problem-solving, statistical reasoning, real-data analysis, and clear explanation of methods.
• Language: Professional fluency in English.