Data Scientist - Inference, Safety and Customer Care
Core
Design and implement causal inference frameworks to measure the impact of interventions and build causal ML models for high-stakes decisions in AI-powered support.
Role type
Senior IC data scientist (causal inference)
Builds
AI-powered support products, differentiated service, and operations optimization
Domain
Ride-hailing / Customer Support / Causal Inference
Deliverable
production ML models
Required skills
causal inference, experimental design, uplift modeling, heterogeneous treatment effect estimation, SQL, Python, large-scale data platforms
Preferred skills
AI/LLM applications, operational team partnering
Responsibilities
Design rigorous experiments and quasi-experiments to measure causal impact; Build, evaluate, and iterate on causal ML models; Develop frameworks to analyze tradeoffs between competing objectives; Collaborate cross-functionally with Product, Design, Engineering, and Operations; Communicate learnings to leaders and stakeholders; Think strategically about scaling data science capabilities
Seniority
Senior, hands-on IC
