Data Scientist, Causal Inference, Marketing Mix Models
As a Data Scientist, you will specialize in causal inference and marketing mix models to lead efforts in measuring and optimizing marketing channel investments for Lyft's Growth Products team. Your responsibilities include developing and deploying data science solutions, building statistical pipelines, and designing experiments to maximize business impact.
The Growth Products team at Lyft drives rider and driver acquisition to scale the business and balance the marketplace. They specialize in incentive and messaging targeting, budget optimization, and paid media measurement, moving rapidly to test new ideas and products.
As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead efforts to measure and optimize investments across marketing channels.
Posted June 14, 2026