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Posted a day ago
Senior Data Scientist, Rider New Products
LyftSenior Data Scientist
Perks & benefits
Medical InsurancePaid LeaveFamily Medical InsuranceTransportation
Requirements
Master’s or PhD in quantitative field, 3+ years applied data science experience, Causal inference and experiment design, Python and SQL, Production-grade modeling pipelines, Cross-functional communication
Skills
PythonSQLCausal Inference
About the role
Responsibilities
- Own incrementality measurement problems and translate launches into causal frameworks
- Lead causal inference initiatives to quantify the impact of new rider features
- Partner with Product, Engineering, and Finance on evaluation strategy
- Design and build production-grade measurement systems and causal pipelines
- Create reusable science infrastructure, libraries, and best practices
- Mentor junior and mid-level scientists on experimental design and modeling
Requirements
- Master’s or PhD in Economics, Statistics, Applied Math, Computer Science, or equivalent experience
- 3+ years of applied science or data science experience
- Strong causal inference intuition and measurement expertise
- Proficiency in Python and SQL
- Experience with experiment design and counterfactual analysis
- Ability to communicate scientific findings to technical and executive stakeholders
Preferred Qualifications
- Experience owning open-ended problem spaces
- Background mentoring scientists and raising technical quality
Benefits
- Medical, dental, and vision insurance
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan
- Paid time off and paid parental leave
- Subsidized commuter benefits
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Get started — it's freeSenior Data Scientist, Rider New Products
Lyft · San Francisco
