Description
The Growth Products team at Lyft drives rider and driver acquisition to scale the business and balance the marketplace. As a Senior Data Scientist expert in causal inference and marketing mix models (MMM), you will lead efforts to measure and optimize investments across marketing channels.
Responsibilities:
- Deliver results across the entire lifecycle of data science solutions for Growth, from defining problems with cross-functional stakeholders to deploying production models.
- Own complex domains and develop long-term roadmaps to maximize business impact.
- Build statistical pipelines, write production code, and design/analyze experiments.
- Participate in the science on-call rotation to ensure automated campaigns operate successfully.
Experience:
- Advanced degree in statistics, economics, mathematics, or equivalent industry experience.
- 4+ years of industry experience in causal inference or data science.
- Proven ability to apply statistics to unstructured problems and deliver measurable results.
- Deep technical expertise in causal inference and tackling challenging measurement problems.
- Expertise in marketing mix modeling is highly preferred.
- Expertise in SQL and experience with large-scale data platforms.
- Proficiency in Python and working within production coding environments.
Benefits:
- Great medical, dental, and vision insurance options with additional programs available
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan with company match
- Discretionary paid time off and 18 weeks of paid parental leave
- Subsidized commuter benefits
- Monthly Lyft credits and complimentary Lyft Pink membership