Senior Data Scientist: Experimental Design & Causal Insights

Apple Inc.; Culver City (CA); Vor Ort; USD 175.000 - 309.000; Vollzeit

Zusammenfassung

Apple Inc. in Culver City, CA, seeks a Senior Data Scientist, Experimentation & Causal Inference to advance measurement, experimentation, and organizational learning across Apple Services. You will design measurement frameworks, experiments, and causal evidence pipelines.

You will collaborate across product, growth, engineering, data engineering, and strategic science teams to build scalable experimentation intelligence systems and advance causal methodologies for long-term user outcomes.

Qualifikationen

• Master's degree or higher in statistics, data science or related quantitative field.
• 5+ years designing, analyzing, and interpreting large-scale experiments or causal analyses.
• Deep expertise in experimental design, statistical inference, and causal inference.
• Experience developing measurement plans, KPI frameworks, guardrails, success criteria.
• Strong programming skills in Python and/or R.

Aufgaben

• Own components of the experimentation science ecosystem across teams.
• Define measurement frameworks, experiment methodologies, and causal approaches.
• Develop advanced causal methodologies and experimentation intelligence systems.
• Drive cross-experiment learning initiatives and governance.
• Communicate complex statistical concepts and causal claims effectively.
• Collaborate with product, growth, engineering, and data teams.
• Establish standards for measurement and experimentation at scale.

Kenntnisse

Statistical reasoning

Experiment design

Causal inference

Communication

Ausbildung

Master's degree or higher in Statistics, Data Science, Biostatistics, CS, Economics, or related quantitative discipline

PhD in Statistics, Biostatistics, Economics, CS, Data Science, or related field

Tools

Python

R

Jobbeschreibung

Apple Inc. in Culver City, CA, seeks a Senior Data Scientist, Experimentation & Causal Inference to advance measurement, experimentation, and organizational learning across Apple Services. You will design measurement frameworks, experiments, and causal evidence pipelines.

You will collaborate across product, growth, engineering, data engineering, and strategic science teams to build scalable experimentation intelligence systems and advance causal methodologies for long-term user outcomes.