Senior Data Scientist, Experimentation & Causal Inference
Core
Define measurement frameworks, experiment methodologies, and causal inference approaches to improve organizational decision quality and generate reusable scientific knowledge.
Role type
Senior IC data scientist (experimentation & causal inference)
Builds
Experimentation intelligence systems, measurement governance frameworks, and cross-experiment learning initiatives
Domain
Technology / Data Science / Causal Inference
Deliverable
production ML models
Required skills
experimental design, causal inference, statistical modeling, power analysis, Python, R, meta-analysis, heterogeneous treatment effect estimation
Preferred skills
uplift modeling, causal forests, Bayesian experimentation, double machine learning, machine learning system evaluation, research publications
Technologies
Python, R
Responsibilities
Design scientific experiments and measurement strategies, develop advanced causal methodologies, build experimentation intelligence systems, conduct meta-analysis and cross-experiment synthesis, evaluate experiment validity issues, collaborate across product and engineering teams
Seniority
Senior, hands-on IC
