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Data Scientist, Causal Inference and Marketing Mix Modeling
Data Scientist, Causal Inference and Marketing Mix Modeling
Lyft is hiring a Data Scientist specializing in causal inference and marketing mix models to lead efforts in measuring and optimizing marketing channel investments. This role involves delivering data science solutions across the full lifecycle, owning complex domains, and building statistical pipelines to ensure the success of automated campaigns.
About the role
About the Role
As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead Lyft's efforts to measure and optimize investments across marketing channels. The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. They specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products.
Responsibilities
- 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.
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.
Skills
Causal Inferencemarketing mix modelingMMMStatisticsproduction modelsstatistical pipelinesproduction codeExperiment Designexperiment analysisSQLlarge scale data platformsPython