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InDrive, a global ride-hailing and transportation platform, is seeking a Senior Experimentation Platform Analyst to lead the evolution of its A/B testing and experimentation infrastructure. The experimentation platform is central to InDrive's product development across ride-hailing, delivery, and fintech services, and this role will significantly enhance its capabilities and reliability.
Key responsibilities include:
• Design and evolve the experimentation framework used across InDrive's product suite
• Build and validate statistical methodologies for A/B testing, multivariate testing, switchback testing, and regional causal inference approaches
• Solve complex causal inference problems including network effects, interference, non-compliance, long-term and delayed effects, and heterogeneous treatment effects across markets
• Partner closely with engineering teams to translate statistical logic into scalable, production-ready systems
• Enable product teams by creating clear decision frameworks, metrics standards, and experiment review processes
• Drive adoption of advanced experimentation tools such as CUPED, variance reduction techniques, and causal models
This is a high-impact role for someone who combines deep statistical expertise with a product mindset and the ability to influence cross-functional teams.
Requirements:
• 5+ years of experience in analytics, data science, or experimentation-heavy roles
• Strong foundation in statistics, probability, and causal inference
• Hands-on experience with A/B testing at scale
• Advanced SQL and Python proficiency (experience with experimentation or causal inference libraries is a plus)
• Ability to explain complex statistical concepts to non-technical stakeholders
• Product mindset: focus on decisions and business impact, not just metrics
• Demonstrated curiosity, rigor, and willingness to challenge conventional conclusions
