{"html":"<p>This is a remote, project-based role for economics professionals with 1–3 years of experience. You’ll complete work similar to what you’d do in applied economics, econometrics, policy analysis, or data analytics roles—using real datasets to build models, run causal and statistical analyses, and generate clear insights. Projects run over the next 2–3 weeks, are fully asynchronous, and are assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This role offers highly competitive pay, exposure to real-world data problems, and a strong opportunity to strengthen your resume.</p>\n<h3>Responsibilities</h3><ul><li>Support economic analysis and modeling for a range of real-world business and policy questions</li><li>Build empirical models using econometric and statistical methods (e.g., regression, panel data, causal inference)</li><li>Improve model quality through thoughtful variable construction, robustness checks, and sensitivity analysis</li><li>Document methodologies, assumptions, and analytical choices clearly and rigorously</li></ul><h3>Requirements</h3><ul><li>1–3 years of professional experience in economics, econometrics, policy analysis, or a related quantitative field</li><li>Master’s degree in Economics, Econometrics, Public Policy, or a related quantitative field</li><li>Strong problem-solving skills and ability to work independently on technical tasks</li><li>At least 1 first author publication or first-author equivalent work</li></ul><h3>Preferred qualifications</h3><ul><li>TA’d courses in causal inference, econometrics, and other statistics classes involving programming, applied machine learning, and empirical analysis.</li></ul>"}