Transform customer experience with Lyft as a Data Scientist specializing in causal inference and safety. Leverage statistics to enhance every rider and driver interaction effectively. In the Safety and Customer Care team at Lyft, your role as a Data Scientist will be pivotal in applying causal inference for decision-making and service improvement.

Collaborate with a dedicated team to create models that guide high-stakes strategies, delivering exceptional value to our community of users. Your efforts will directly influence the effectiveness and quality of customer interactions across platforms. Key Responsibilities:
Design and assess causal inference frameworks
Create and refine models for critical decision processes




Evaluate competing objectives for optimized outcomes
Collaborate with product and engineering for innovation
Influence leadership with actionable insights Requirements:
2+ years’ experience in causal inference
Advanced degree in statistics or related field
Proficient with SQL and Python development
Experience with experimental design and treatment effects
Robust collaboration and project management abilities Utilize your analytical skills to enhance Lyft’s commitment to customer satisfaction and operational excellence.

📌 Lyft Data Scientist – Safety & Inference Focus Toronto (Canada)
🏢 Socotra
📍 Canada