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