Elevate customer experiences with Lyft as a Data Scientist focused on causal inference in Safety and Customer Care. Your insights will drive impactful decisions, optimizing every customer interaction.

Join the Safety and Customer Care team at Lyft, where you will leverage your expertise in causal inference to enhance AI-powered support products. Collaborating with engineers and product managers, you'll focus on optimizing service quality and operational costs.

Your work will be vital in making data-informed decisions that prioritize rider and driver satisfaction.

Key Responsibilities:
Design causal inference frameworks and statistical models
Build and iterate causal ML models for decision-making




Optimize tradeoffs between accuracy and operational costs
Collaborate cross-functionally with Product and Engineering teams
Communicate insights for informed decision-making

Requirements:
2+ years in causal inference or data science
Master’s or PhD in a quantitative field
Robust SQL and Python proficiency
Experience with uplift modeling techniques
Excellent project management and communication skills

Make a significant impact on Lyft’s customer experience through data-driven insights and innovation.
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📌 Data Scientist For Customer Care At Lyft Toronto
🏢 Socotra
📍 Toronto