Senior Data Scientist, Causal Inference

Responsibilities

• Deliver results across the entire lifecycle of data science solutions for Growth
• 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

Requirements

• 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
• Deep technical expertise in causal inference
• Expertise in SQL and large-scale data platforms
• Proficiency in Python and production coding environments

Preferred Qualifications

• Expertise in marketing mix modeling

Benefits

• Medical, dental, and vision insurance
• Mental health and family building benefits
• Child care and pet benefits
• 401(k) plan with company match
• Discretionary paid time off and 12 observed holidays
• 18 weeks of paid parental leave
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

About the Company

Lyft aims to serve and connect by cultivating a work environment where all team members belong and have the opportunity to thrive.