Senior Data Scientist, Causal Inference

New York Officefull timeRemote

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senior

$148k–$185k

H1B: yes

Lyft The Senior Data Scientist at Lyft specializes in causal inference and marketing mix models to measure and optimize marketing investments. Responsibilities include delivering data science solutions, building statistical pipelines, and participating in on-call rotations.

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.
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.

Qualification

Advanced degree in statisticsExpertise in marketing mix modeling

Required

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
Expertise in SQL and experience with large-scale data platforms
Proficiency in Python and working within production coding environments