Drive data excellence at Lyft as a Causal Inference Data Scientist in Safety and Customer Care. Use your expertise to support and improve customer interactions across our platform. The Safety and Customer Care team at Lyft is looking for a Data Scientist to apply causal inference techniques to enhance AI and human interactions.

Working closely with cross-functional teams, your role will influence strategic decisions and support the development of cutting-edge customer care products. Your analytical skills will help maximize trust and operational impact for riders and drivers. Key Responsibilities:
Implement causal inference frameworks and experiment designs
Develop causal ML models to enhance decision quality




Analyze tradeoffs in service effectiveness across projects
Foster collaboration across product, design, and operations
Present findings to stakeholders to influence key decisions Requirements:
Minimum 2 years in data science focused on causal inference
Master’s degree or higher in quantitative field
Proficient in SQL and Python for data analysis
Background in uplift modeling and statistical evaluation
Robust communication and collaboration skills Channel your analytical talents to advance customer care initiatives at Lyft.

📌 Causal Inference Data Scientist At Lyft Toronto
🏢 Socotra
📍 Toronto