LyftSan Francisco, CADrives data science initiatives on the Risk Solutions team to reduce claims costs and improve safety through predictive models, experiments, and cross-functional collaboration. Requires 5+ years experience, SQL/Python proficiency, and quantitative degree.
Expected base pay range in the San Francisco area: $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits.
Senior Data Scientist on Lyft's FORTOP team building and productionizing time series forecasting and ML models to generate real-time supply/demand signals that power Dynamic Pricing, Supply Management and other marketplace systems. Requires 5+ years experience, strong ML fundamentals, and Python proficiency.
Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and production environments.
Lead causal inference and marketing mix modeling efforts to measure and optimize marketing investments. Requires 4+ years experience, advanced degree, and expertise in Python, SQL, and statistical pipelines.
Senior Data Scientist drives risk reduction strategies using data science for Lyft's safety and financial resilience. Partners cross-functionally to build models, design experiments, and optimize claims outcomes. Requires 5+ years experience, SQL/Python proficiency, and quantitative degree.
Measures incremental impact of new rider product features using advanced causal inference. Partners with Product, Engineering, and Finance to drive innovation decisions. Requires Master's/PhD, 3+ years applied experience, Python/SQL proficiency.