Job
Core
Design and evolve the experimentation framework for InDrive's products (ride hailing, delivery, fintech) and build statistical methodologies for A/B testing, multivariate testing, and causal inference.
Role type
Senior Experimentation Platform Analyst
Builds
Scalable, production-ready experimentation systems and decision frameworks for product teams
Domain
Transportation/Ride-hailing, Data Science, Causal Inference
Deliverable
production ML models
Required skills
Statistics, Probability, Causal Inference, A/B Testing at Scale, SQL, Python
Preferred skills
Experimentation libraries, CUPED, Variance reduction, Network effects modeling
Technologies
SQL, Python
Responsibilities
Design and evolve the experimentation framework; Build and validate statistical methodologies for A/B, multivariate, and switchback testing; Solve complex causal inference problems (network effects, interference, long-term effects); Partner with engineers to translate statistical logic into scalable systems; Enable product teams with decision frameworks and metrics standards; Drive adoption of advanced tools.
Seniority
Senior, hands-on IC
