LyftNew York, NYSenior 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.
Expected base pay range in New York City area: $148,000 - $185,000 (not inclusive of equity, 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.
Drives 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.
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.