Causal Inference Data Scientist

Alpheva; United States; Remote; USD 193,000 - 296,000; Part time

Benefits offered by this job

Remote work

Contract basis

Hourly pay

Job summary

Alpheva, a US-based expert network, seeks a highly experienced statistician to evaluate causal analyses, experiment design, and statistical inference for high-stakes product and policy questions in a remote, project-based arrangement.

The role emphasizes identifying confounding, bias, leakage, and limitations, while translating rigorous methods for non-technical stakeholders.

Expect flexible scope and hours tied to project matching; the listed hourly range applies to matched work.

Qualifications

• 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.

Responsibilities

• Evaluate causal analyses, experiment design, statistical inference, and decision recommendations for high-stakes questions.
• Review identification strategies, estimands, power assumptions, sampling choices, and uncertainty statements.
• Identify confounding, bias, leakage, and conclusions that exceed the evidence.
• Provide reference analyses that translate rigorous methods for non-technical stakeholders.

Skills

Experimentation

Causal inference

Statistical modeling

Uncertainty communication

Identification strategies

Bias detection

Education

Graduate degree or equivalent in statistics, economics, biostatistics, or related quantitative field

Job description

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.