At Lyft, we're looking for a Senior Data Scientist to join our Rider New Products team. The ideal candidate will have a strong background in applied causal inference, hands-on experience with advanced measurement techniques, and the ability to write clean, efficient production code. As a high-impact, highly technical role, you will play a critical role in shaping the future of the Lyft rideshare experience by rigorously measuring the true incremental impact of new product features.
Requirements
- Advanced Quantitative Background: 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
- 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
- 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
Benefits
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan to help save for your future
- 12 observed holidays and discretionary paid time off
- 15 days paid time off for hourly team members
- 18 weeks of paid parental leave
- Subsidized commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
