At Lyft, Data Scientists sit at the heart of every ride — building the intelligence that powers our marketplace, keeps riders safe, and drives the next generation of growth.
The problems are as varied as they are high-stakes: real-time pricing and supply-demand matching at scale, risk and safety modeling, and measuring the true impact of new product innovations.
Whether you're optimizing algorithms that run millions of times a day or designing causal experiments to validate a new rider feature, the work is deeply technical and immediately impactful.
We hire across the full spectrum of DS disciplines — ML, Optimization, Causal Inference, and Experimentation — and across every stage of the product lifecycle, from research to production.
Curious about DS life at Lyft?
Review our open roles and Register for our community!