Senior Data Scientist, Experimentation & Causal Inference
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Sep 28, 2026. Apple scores A on the Alion truth index.
At Apple, some of the most important decisions are shaped by the quality of the evidence behind them. We are seeking a Senior Data Scientist, Experimentation & Causal Inference to help advance the scientific foundations of measurement, experimentation, and organizational learning across Apple Services.
This role sits at the intersection of statistics, causal inference, experimental design, and decision-making. You will help define how success is measured, how experiments aredesigned, and how causal evidence is generated and accumulated across the organization.
Beyond individual experiments, you will help build the next generation of experimentation intelligence by transforming isolated experiment outcomes into reusable scientific knowledge. As Apple expands investments in AI-powered experiences and intelligent systems, this role will also help evolve the experimentation methodologies used to evaluate increasingly complex product behaviors and long-term user outcomes.
The ideal candidate combines deep statistical expertise with strong scientific curiosity and a passion for developing rigorous methodologies that improve how organizations learn and make decisions at scale.