Staff Data Scientist Autonomous Vehicles

Lead autonomous vehicle science at Lyft in Toronto, using causal inference and experimentation on a hybrid schedule with three office days weekly.As Staff Data Scientist for AV, you will set Lyft’s science vision for autonomous rides. You will guide measurement, optimization, growth, partner strategy, market expansion, and product decisions. The work spans hybrid matching, rider adoption, partnership performance, fleet economics, and international growth.Key Responsibilities:
Set Lyft’s multi-year AV science vision and roadmapDefine metrics for incrementality, service quality, and rider experienceLead experiments and causal analyses across AV productsShape hybrid matching, pricing, and supply modelsBuild market sizing and business cases for expansionRequirements:
Master’s, PhD, or equivalent high-impact industry experienceSeven-plus years in applied data science or applied scienceHands-on causal inference and experimentation experienceStrong proficiency in Python and SQLExperience influencing roadmaps across multiple teamsShape Lyft’s autonomous vehicle strategy through experimentation, causal analysis, marketplace modeling, and executive-level recommendations.
#J-18808-Ljbffr