Staff Economist, Marketplace Experimentation

Remote $90k–$135k senior 2 months ago full-time quality 8.5/10

econometricscausal inferencePythondata sciencebig data toolsSparkDatabricks

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

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
Experience is great, but we really look for drive, intelligence, and integrity.

Similar jobs