- You will analyze tasks involving quantitative logic, statistical interpretation, probability, data summarization, and numerical reasoning
- The role requires verifying calculations, assessing statistical validity, identifying conceptual errors in data interpretation, and ensuring sound application of quantitative methods
- You will work across diverse domains to evaluate charts, datasets, numerical claims, and multi-step problem-solving processes
Responsibilities
- Review statistical claims and identify misuse of statistics Validate charts, regressions, and numerical interpretations Annotate errors in causal inference or data logic
- Check p-values, confidence intervals, and model assumptions Ensure rigorous statistical interpretation and accuracy
Skills & Experience Required
- Stats/Math background or analytics experience
- Strong understanding of statistical tests and causal inference
- Ability to spot statistical fallacies and data-misinterpretation solid in statistical reasoning and data interpretation