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You'll develop and implement sophisticated causal and predictive models, leveraging economic theory, behavioral science, and advanced analytics to identify improvements in people processes and policies. Working closely with cross-functional partners, you'll translate complex economic insights into actionable recommendations for senior leadership.Key job responsibilities
- PhD in economics or equivalent
- 5+ years of post PhD experience experience
- Expertise in economic research and causal inference, including: causal identification strategies (e.g., instrumental variables, regression discontinuity, difference-in-differences); experimental design (A/B testing, randomized controlled trials, quasi-experiments); advanced econometric and statistical methods. Experience can be obtained through work experience or advanced degree (Master's or Ph.D.) in Economics, Econometrics, Public Policy, or related fields. Experience in statistical programming languages such as R, Python, or Stata. Experience with SQL and database management.
- Advanced experience in economic research domains, including: labor economics; personnel economics; applied microeconomics; behavioral economics. Advanced leadership and communication skills, including: proven track record of hiring, coaching, and developing economic research talent; experience effectively consulting with senior management and executives; success driving evidence-based decisions in fast-paced environments; history of leading cross-functional research initiatives. Experience with economic research design, including: ability to evaluate and compare different identification strategies based on business requirements; understanding of practical tradeoffs between model complexity, statistical power, and feasibility; track record of identifying and addressing implementation challenges; experience with end-to-end research project management and policy implementation
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