Senior Applied Scientist (Researcher) – Incentives
Core
Design and deploy adaptive data-driven mechanisms to determine user goals and rewards, maximizing incremental effect per dollar invested in a marketplace.
Role type
Senior Applied Scientist (Researcher) specializing in incentives and causal inference
Builds
Incentive management systems, uplift models, and algorithmic strategies for user retention and LTV
Domain
Ride-hailing / Marketplace economics / Behavioral modeling
Deliverable
production ML models
Required skills
Causal inference, Uplift modeling, Behavioral modeling, Python, SQL, A/B testing, Mathematics, Economics
Preferred skills
Linear/integer optimization, Networked systems experimentation
Responsibilities
Design closed-loop feedback control systems for incentive optimization; Create causal inference and uplift models; Model non-linear responses of marketplace participants; Translate research models into production-grade code; Act as a strategic partner to product managers and engineers
Seniority
Senior, hands-on IC
