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