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.

Requirements

• 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

Pay

$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.