Job
Core
Design and evolve dynamic pricing systems for a marketplace by developing feedback-driven decision models that balance supply, demand, and business outcomes under uncertainty.
Role type
Senior Applied Scientist (Pricing)
Builds
Real-time pricing algorithms and dynamic pricing policies for a global marketplace
Domain
Marketplace economics, algorithmic pricing, optimization
Deliverable
production ML models
Required skills
Statistics, optimization, causal inference, Python, SQL, production ML systems, A/B experiment design, real-time system deployment
Preferred skills
Economic modeling (elasticity, auctions), control systems, reinforcement learning, online optimization, high-load system experience
Responsibilities
Design and improve dynamic pricing policies; Frame pricing as a decision system under uncertainty; Develop, test, and deploy real-time pricing algorithms; Design and analyze A/B experiments; Productionize models with engineering; Monitor system performance and stability
Seniority
Senior, hands-on IC
