Teams at Relay Technologies

Own marketplace decision-making across booking, matching, pricing, and driver incentives. Identify problems, design decision frameworks, analyze experiments, build data applications and monitoring tools, and influence squad priorities. The role requires hands-on SQL, causal reasoning when clean experiments are unavailable, close investigation of real-world logistics operations, and ownership of measurable outcomes in a fast-changing two-sided marketplace.

Own marketplace decision-making across booking, matching, shifts, and pay. Identify high-impact problems, define decision systems, analyze experiments, build data applications, monitors, and alerts, and influence squad priorities. The role requires hands-on SQL analysis, investigation of driver and courier behavior, rapid iteration, and close engagement with real-world logistics operations. Decision Scientists partner with engineering and operational research to measure outcomes and improve Relay’s two-sided delivery marketplace.

Owns fraud, risk, and trust decisions for Relay’s delivery-partner network. The role investigates operational signals, defines evidence and rules, directs product, policy, or training interventions, builds SQL-based data applications and monitoring tools, and validates results in the field. The Staff Decision Scientist partners with engineering and operations to improve parcel handovers, detect delivery failures, establish network-wide standards, and ensure analysis drives measurable changes.