Lyft's Rider New Product team needs to rigorously quantify the value of innovation by applying advanced causal inference to unlock Lyft's next generation of growth. The role will shape critical business decisions by rigorously measuring the true incremental impact of new product features.
Requirements
- Deep product intuition and hands-on experience with causal methods
- Strong proficiency in Python and SQL.
- Experienced in defining and executing sophisticated evaluation strategies, including advanced experiment design and counterfactual analysis to isolate incrementality.
- Demonstrated ability to own high-stakes, open-ended problem spaces, translating vague business questions into rigorous scientific roadmaps.
- Experience in mentoring other scientists, elevating the bar for technical quality, and establishing best practices for modeling and scientific reasoning.
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.
- Design and build production-grade measurement systems.
- Develop and deploy robust causal models pipelines that balance high scientific rigor with the practical constraints.
- Build reusable science infrastructure.
Other
- Master's or PhD in Economics, Statistics, Applied Math, Computer Science or equivalent high-impact industry experience.
- 3+ Years of Applied Experience: Proven track record in applied science or data science, with a focus on deploying causal models that drive measurable business outcomes.
- Proven ability to align cross-functional partners, influence technical architecture, and challenge scientific assumptions to guide high-level product strategy.
- Excellent ability to articulate complex causal concepts, trade-offs between rigor and speed, and scientific findings to both technical peers and executive stakeholders.
- This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays.
