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
Why join us
- Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries
- Develop your professional skills with access to mentoring, career consulting, and learning programs
- Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
- Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
- Work alongside people who take initiative, speak openly, and challenge themselves to grow
- Improve your language skills through co-financed courses and internal speaking clubs
About
inDrive is a global tech company on a mission to challenge injustice through fair choices. We started in 2012 in the coldest city on Earth, when a group of friends created a way for people to agree on fair ride prices. That idea grew into one of the world’s top ride-hailing apps, now with 400M installs across 48 countries.Today, we offer more than rides: from freight and delivery to intercity travel and financial services, all designed to put people first. We are committed to having a positive impact on people’s lives both through our core business, which supports local communities via a fair pricing model; and through the work of our impact programs. Ready to ignite your inner drive?
Skills Required
- 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
- Advanced Python
- Experience with experimentation or causal libraries
- Ability to explain complex statistical ideas to non-technical stakeholders
- Product mindset: focus on decision-making and business impact
What We Do
inDrive is a global IT and transportation platform inDrive is one of the world’s fastest growing online ride-hailing services. Its services are available in over 749 cities in 46 countries throughout the world. The Company’s app has been downloaded over 150 million times. inDrive offers other services, including intercity transportation, freight and cargo services, as well as delivery services in different markets of operations. inDrive is based in Mountain View, California, and operates regional hubs in the Americas, Asia, the Middle East, Africa and the countries of the CIS, and employs over 2,000 people. In early 2021, inDrive achieved unicorn status after closing a $140m investment round with Insight Partners, General Catalyst, and Bond Capital, which valued the company at $1.23 billion.








