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 insightsRequirements:
- 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
- Solid collaboration and project management abilitiesUtilize your analytical skills to enhance Lyft’s commitment to customer satisfaction and operational excellence.#J-18808-Ljbffr

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