About the role
Evaluate causal analyses, experiment design, statistical inference, metric construction, and decision recommendations for high-stakes product and policy questions. Review identification strategies, estimands, power assumptions, sampling choices, and uncertainty statements for statistical validity. Identify confounding, selection bias, leakage, post-treatment adjustment, weak counterfactuals, and conclusions that exceed the evidence. Provide reference analyses that connect rigorous methodology to decisions in language non-specialist stakeholders can understand. Remote, project-based contract work. Scope and hours depend on project matching; the listed hourly range applies to matched work.
What we're looking for
- Graduate degree or equivalent expertise in statistics, economics, biostatistics, or a related quantitative field
- 7+ years applying experimentation, causal inference, or advanced statistical modeling
- Expertise in identification strategy, bias, uncertainty, and communicating limitations