Data Scientist

Responsibilities

• Leverage data and analytical frameworks to identify opportunities for improving operational efficiency
• Define and implement decision frameworks, measurement strategies, and scientific methodologies
• Deliver integrated, high-quality analytical outputs while navigating ambiguity and cross-team dependencies
• Define and implement a robust attribution framework to evaluate high-stakes decisions
• Act as a technical lead, guiding other Data Scientists and fostering analytical excellence
• Write efficient, clean, production-level code in Python and SQL
• Contribute to the Science community through hiring, onboarding, and tooling improvements

Requirements

• Bachelor’s, Master’s, or PhD in a quantitative field (Statistics, Economics, CS, Engineering, etc.)
• 3+ years of industry experience in decision science, analytics, or data science
• Proficiency in SQL and Python
• Experience with data manipulation, statistical modeling, and visualization
• Ability to translate analytical insights into actionable recommendations for executive audiences
• Proven success driving alignment in fast-paced, high-stakes environments

Preferred Qualifications

• Expertise in metric design, diagnostic analysis, forecasting, and behavioral analytics
• Experience working with financial data
• Experience building and scaling monitoring systems and business health dashboards

Benefits

• Medical, dental, and vision insurance
• Mental health and family building benefits
• Child care and pet benefits
• 401(k) plan
• Discretionary paid time off and 18 weeks of paid parental leave
• Subsidized commuter benefits
• Lyft Pink access

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.