Senior Data Scientist

Responsibilities

• Design, formulate, and solve complex mathematical optimization problems for pricing, pay, incentives, and resource allocation
• Build, deploy, and maintain production-grade ML and optimization models
• Own the full model lifecycle from prototyping through production deployment
• Drive large-scale technical projects and influence the multi-quarter technical roadmap
• Partner with Data Scientists, Engineers, and Product Managers to frame business problems mathematically
• Serve as a subject matter expert on optimization and modeling to provide technical guidance

Requirements

• M.S. in Operations Research, Industrial Engineering, Mathematics, Computer Science, Statistics, Economics, or a quantitative field
• 4+ years of experience developing and deploying optimization or machine learning models in production
• Advanced proficiency in Python and SQL
• Experience with end-to-end data querying, aggregation, analysis, and visualization
• Strong communication skills and experience working with cross-functional stakeholders

Preferred Qualifications

• Ph.D. in a quantitative field
• Experience in pricing optimization, marketplace design, or resource allocation in two-sided marketplaces
• Proven track record of delivering business value through experimental design and causal inference
• Deep understanding of marketplace equilibrium and system-wide dynamics
• Experience productionizing algorithms for real-time decision systems
• Exposure to modern AI/ML frameworks

Benefits

• Medical, dental, and vision insurance
• Mental health and family building benefits
• Child care and pet benefits
• 401(k) plan with company match
• Discretionary paid time off and 18 weeks of paid parental leave
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

About the Company

Lyft's Central Market Management & AI team develops foundational models, business datasets, and decision-making applications that power pricing, pay strategy, and operational alignment to maintain an efficient marketplace.