Data Scientist - Inference, Community Support

## Responsibilities - Design and implement causal inference frameworks and statistical models to measure the impact of interventions, evaluate system performance and uncover opportunities for improvement. - Build, evaluate and iterate on causal ML models that power high-stakes decisions, applying best practices across the full model lifecycle from feature engineering to production deployment. - Develop frameworks to analyze tradeoffs between competing objectives (accuracy, coverage, user experience and operational cost), and propose strategies to improve overall effectiveness. - Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation. - Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making. - Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes. ## Requirements - 2+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or PhD in relevant fields. - Strong knowledge of causal inference and experimental design. - Strong knowledge of Bayesian modeling and statistical inference. - Hands-on experience building and deploying statistical or ML models in production environments. - Skilled in statistical programming (Python/R) and database usage (SQL). - Proven ability to communicate clearly and effectively to audiences of varying technical levels. - Ability to translate complex findings into compelling narratives that drive impact. - Excellent project management, communication and collaboration skills. ## Nice to Have - N/A ## Benefits - Join a mission-driven company dedicated to creating a world where anyone can belong anywhere. - Work on high-impact projects like designing rigorous experiments, building causal ML models, conducting causal inference analyses, and delivering strategic insights. - Collaborate with a strong team of engineers, product managers, designers and operation agents to enable personalized, fair and exceptional experience for guests and hosts. - Be part of a team that delivers seamless, 10-star customer service experiences complemented by world-class, personalized human support that empowers hosts and guests at every step of their journey.