Senior Data Scientist, Causal Inference
$148,000–$185,000 year
HybridSan Francisco, California, United States
San Francisco, California, United StatesHybridFull Time$148,000–$185,000 yearSenior LevelDoctorate Or Professional DegreeTransportation ServicesLarge
Full TimeSenior LevelDoctorate Or Professional DegreeLargeTransportation Services
Job Summary
Define problems with cross-functional stakeholders and deploy production models to optimize marketing investments. Own complex domains by building statistical pipelines, writing production code, and designing experiments for causal inference and marketing mix modeling. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Deliver measurable results across the entire lifecycle of data science solutions for Lyft's Growth Products team, which drives rider and driver acquisition.
Required Qualifications
- 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 SQL and experience with large-scale data platforms
- Proficiency in Python and working within production coding environments
- Must be able to work in-office 3 days per week on Mondays, Wednesdays, and Thursdays
Desired Qualifications
- Expertise in marketing mix modeling is highly preferred
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