The opportunity
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
What you'll do
Deliver results across the entire lifecycle of data science solutions for: Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems.
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.
Advanced degree in statistics, economics, mathematics, or equivalent industry experience.
+ years of industry experience in causal inference or data science.
What they're looking for
- 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.
