Causal Inference Data Scientist

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.

• 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

$140–$215/hr

Alpheva is a new expert network (launched September 2026); payout methods are not published yet, so confirm your first payment before scaling up.