Lyft
SeniorDataScientist,CausalInference
“Senior Data Scientist, Causal Inference at Lyft. Skills: Causal inference, Data science, Marketing mix modeling. Deliver data science solutions. Define problems with stakeholders”
What You'll Achieve.
Maximize business impact
Industry & Context.
Unstructured problems
On-call rotation, Work in office 3 days per week, Work from anywhere 4 weeks per year
What They're Looking For.
Must Have
Advanced degree in statistics, Advanced degree in economics, Advanced degree in mathematics, 4+ years industry experience, Experience in causal inference, Experience in data science, Apply statistics to unstructured problems, Deliver measurable results, Technical expertise in causal inference, Tackle challenging measurement problems, Expertise in SQL, Experience with large-scale data platforms, Proficiency in Python, Work within production coding environments
Nice to Have
Expertise in marketing mix modeling, PhD preferred
What You'll Do.
Deliver data science solutions
Define problems with stakeholders
Deploy production models
Address key business problems
Develop long-term roadmaps
Maximize business impact
Build statistical pipelines
Write production code
Participate in science on-call rotation
Ensure automated campaigns operate successfully
How You'll Work.
Team & Collaboration
Cross-functional stakeholders
Process & Methodology
Roadmaps
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