Data Scientist for Customer Care at Lyft

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

• Strong 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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