Senior Data Scientist, Causal Inference

Overview Lyft is hiring a Senior Data Scientist for its Growth Products team to lead causal inference and marketing mix modeling work. The role focuses on measurement, experimentation, and optimizing marketing investments in a hybrid Seattle-based position. Responsibilities - Lead measurement and optimization of marketing investments across channels - Own data science solutions from problem definition through production deployment - Build statistical pipelines, write production code, and design/analyze experiments - Develop long-term roadmaps for complex domains with cross-functional stakeholders - Participate in the science on-call rotation to support automated campaigns Requirements - Advanced degree in statistics, economics, mathematics, or equivalent industry experience - 4+ years of industry experience in causal inference or data science - Deep technical expertise in causal inference and measurement problems - Marketing mix modeling experience is highly preferred - Experience with SQL, large-scale data platforms, and Python in production coding environments Benefits - Medical, dental, and vision insurance - Mental health benefits - Family building, child care, and pet benefits - 401(k) with company match - Paid time off and 18 weeks of paid parental leave - Subsidized commuter benefits - Monthly Lyft credits and Lyft Pink membership Other Relevant Heading This is a hybrid role based in Seattle, WA, with in-office work required three days per week. The expected base pay range is $136,160 to $170,240. Source https://app.careerpuck.com/job-board/lyft/job/8584695002?gh_jid=8584695002