Data Scientist - Inference, Safety and Customer Care

📋 Description

• Design and run causal inference experiments to measure interventions in SCC products and AI-agent
• Build causal ML models to optimize resource allocation and improve trust and business impact.
• Quantify long-term effects of support changes on rider/driver retention and uncover heterogeneous
• Provide strategic insights on quality–cost tradeoffs to balance service quality and operations at
• Collaborate with Product, Design, Engineering, Operations, and Analytics to drive data-driven
• Communicate findings clearly to leaders and stakeholders to influence decisions.

🎯 Requirements

• 2+ years in causal inference or data science with Master’s or PhD in quantitative field.
• Strong knowledge of causal inference and experimental design.
• Experience with uplift modeling / heterogeneous treatment effect (CATE) estimation.
• Proven ability to apply statistics to unstructured problems and deliver measurable results.
• Expertise in SQL and experience with large-scale data platforms.
• Proficiency in Python and production coding environments.

🎁 Benefits

• Extended health and dental coverage, life insurance, and disability benefits.
• Mental health benefits and family building benefits.
• Child care and pet benefits; Lyft-funded Health Care Savings Account.
• RRSP plan with company match.
• Flexible PTO; generous paid time off and holiday coverage.
• Hybrid-friendly with in-office time requirements; flexibility to work from anywhere up to 4