Lyft
SeniorDataScientist,CausalInference
“Senior Data Scientist, Causal Inference at Lyft. Skills: Causal inference, Data science. Deliver data science solutions. Define problems with stakeholders”
What You'll Achieve.
Maximize business impact
Industry & Context.
Unstructured problems
On-call rotation, Work in the office 3 days per week, Work from anywhere for 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 data science solutions
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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