Your space-enabled career begins here

Key Responsibilities

• Design and evolve the experimentation framework used across inDrive’s products (ride hailing, delivery, fintech etc.)
• Build and validate statistical methodologies for:
  • A/B and multivariate testing
  • Switchback testing
  • Regional causal inference approaches
• Solve complex causal inference problems:
  • Network effects, interference, non-compliance
  • Long-term and delayed effects
  • Heterogeneous treatment effects across markets
• Partner closely with engineers 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 tools (e.g. CUPED, variance reduction, causal models)

Skills, Knowledge and Expertise

• 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 (experience with experimentation or causal libraries is a plus)
• Ability to explain complex statistical ideas to non-technical stakeholders
• Product mindset: you care about decisions, not just numbers
• Curiosity, rigor, and the courage to challenge “obvious” conclusions

Conditions

• Stable salary, official employment
• Health insurance
• Hybrid work mode and flexible schedule
• Access to professional counseling services, including psychological, financial, and legal support
• Discount club membership
• Diverse internal training programs
• Partially or fully paid additional training courses
• All necessary work equipment