Lyft
SeniorDataScientist,CausalInference
“Senior Data Scientist, Causal Inference at Lyft. Skills: Causal inference, Data science, Marketing measurement. Deliver results across data science lifecycle. Define problems with stakeholders”
What You'll Achieve.
Maximize business impact
Industry & Context.
Tackling challenging measurement problems
On-call rotation, Work in office 3 days per week, Work from anywhere up to 4 weeks per year
What They're Looking For.
Must Have
Advanced degree in statistics, economics, or mathematics, 4+ years of industry experience, Proven ability to apply statistics, Deep technical expertise in causal inference, Expertise in SQL, Experience with large-scale data platforms, Proficiency in Python, Working within production coding environments
Nice to Have
Expertise in marketing mix modeling
What You'll Do.
Deliver results across data science lifecycle
Define problems with stakeholders
Deploy production models
Develop long-term roadmaps
Build statistical pipelines
Write production code
Participate in science on-call rotation
How You'll Work.
Team & Collaboration
Cross-functional stakeholders
Process & Methodology
Roadmaps
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