Requirements
- A strong background (PhD or equivalent experience) in the application of econometric or statistical theory to business or policy decisions
- Work well in highly collaborative environments to understand the context-specific challenges of teams and work with them to find and develop solutions
- Proven experience in applying causal inference methods to real product or policy decisions, with at least a theoretical understanding of two-sided marketplaces
- Comfort reading and implementing methods from research papers: you can go from a paper's mathematical notation to a working Python proof-of-concept
- Self-direction to define your own roadmap and drive it – you will have strong support and context along the way
- Experience with data science at scale using big data tools like Spark/Databricks
What you'll be doing
- Collaborate with marketplace teams across the company to optimize sensitivity and speed of their switchback tests
- Provide standardized guidance to teams on network effects and how to select the right measurement methods
- Drive R&D to deepen our understanding of marketplace dynamics and implement new methods to measure long-term impact
- Deliver proof-of-concepts clear enough for engineers to platformise and scale company-wide
Perks and benefits
- Play a direct role in shaping the future of mobility
- Impact millions of customers and partners in 600+ cities across 50+ countries
- Work in fast-moving autonomous teams with some of the smartest people in the world
- Accelerate your professional growth with unique career opportunities
- Get a rewarding salary and stock option package that lets you focus on doing your best work
- Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork
- Take care of your physical and mental health with our wellness perks
*Some perks may differ depending on your location and role.