Quantitative Researcher, Marketplace
Core
Lead causal inference to measure how Relay's marketplace decisions affect couriers and optimize the network-wide delivery system.
Role type
Senior IC quantitative researcher (causal inference)
Builds
Network-wide optimization models and experimental frameworks for a live two-sided marketplace
Domain
Logistics / Marketplace / Causal Inference
Deliverable
production ML models
Required skills
causal inference, experimentation design, machine learning, statistics, mechanism-based thinking
Preferred skills
PhD in statistics/experimental science, publications, experience in real marketplaces
Technologies
causal inference frameworks, statistical modeling tools
Responsibilities
Set the standard for causal inference at Relay, measure decision impacts on couriers, shape experiments across the marketplace, adapt advanced techniques to production, partner with Operational Research to embed insights
Seniority
Senior, hands-on IC
