Staff Applied Scientist
Core
Develop mathematical models and launch algorithms to power pricing and ETA decisions for Lyft's marketplace.
Role type
Staff Applied Scientist (Machine Learning & Operations Research)
Builds
Production-grade ML and optimization pipelines scaling to millions of daily calls
Domain
Ride-sharing marketplace, pricing strategy, ETA prediction
Deliverable
production ML models
Required skills
Python, mathematical modeling, optimization algorithms, machine learning methodologies, data analysis, system robustness evaluation, metrics establishment
Preferred skills
Custom method development, cross-functional collaboration, translating business problems to technical solutions
Technologies
Python
Responsibilities
Partner with Data Scientists, Engineers, and Product Managers to frame problems mathematically; Design, build, and deploy production-grade ML and Optimization models; Perform data analysis and build proof-of-concepts for new and existing problems; Evaluate ML systems against business goals and collaborate on live implementation; Establish metrics to monitor product health and user outcomes
Seniority
Staff, hands-on IC with strategic impact
