Senior Data Scientist - Optimization, Central Market Management & AI
Core
Build scalable optimization and modeling systems at the intersection of Machine Learning, Data Science, and Economics to power Lyft's marketplace decisions, pricing, pay, and resource allocation.
Role type
Senior IC machine-learning engineer (optimization & marketplace modeling)
Builds
Production-grade ML and optimization models integrated into live decision-making frameworks for pricing, pay, and incentives
Domain
Rideshare marketplace, real-time optimization, economics
Deliverable
production ML models
Required skills
Operations Research, Industrial Engineering, Mathematics, Computer Science, Statistics, Economics, Python, SQL, mathematical optimization, first-principles reasoning, causal inference, experimental design, model lifecycle management
Preferred skills
Pricing optimization, two-sided marketplace design, real-time decision systems, modern AI/ML frameworks
Technologies
Python, SQL, optimization libraries, ML frameworks
Responsibilities
Design and solve complex mathematical optimization problems for marketplace decisions; Build, deploy, and maintain production-grade ML and optimization models; Drive large-scale technical projects from concept to execution; Partner with cross-functional teams to frame problems mathematically and within business context; Serve as a subject matter expert on optimization and modeling; Present actionable insights and recommendations to senior leadership
Seniority
Senior, hands-on IC
