Lyft is a company focused on serving and connecting people, aiming to cultivate an inclusive work environment. The Rider New Product team is tasked with quantifying the value of innovation through advanced causal inference to drive growth in Lyft's business. This role involves leading measurement initiatives, partnering with various teams, and shaping the future of the Lyft rideshare experience.
Responsibilities:
- Own complex, open-ended incrementality measurement problems. Translate ambiguous product launches into concrete causal frameworks and experimental designs
- Lead high-impact Causal Inference initiatives. Drive innovation by introducing advanced measurement techniques to quantify the incremental impact of new rider features
- Partner deeply with Product, Engineering, and Finance. Define the technical vision for how Lyft evaluates innovation, ensuring that we move beyond simple correlations to understand the long-term drivers of rider behavior and value
- Design and build production-grade measurement systems. Develop and deploy robust causal models pipelines that balance high scientific rigor with the practical constraints
- Establish robust evaluation frameworks. Ensure that the "engine of innovation" is steering the business toward sustainable, incremental growth
- Build reusable science infrastructure. Create internal libraries and best practices for causal discovery and automated measurement
- Mentor and guide junior/mid-level scientists. Serve as a technical advisor on experimental design, statistical modeling, and fostering a culture of scientific excellence