• Design and implement measurement and evaluation frameworks to understand the impact of Trust defense, and uncover opportunities for improvement • Collaborating closely with cross-functional partners, lead the design and analysis of experiments and quasi-experiments in environments where standard A/B testing is challenging. • Build and iterate on statistical and Bayesian models that quantify risk, estimate treatment effects, and surface measurement gaps; provide causal interpretation of signals surfaced by ML systems • Generate deep insights on the effectiveness of Trust defenses and translate them into clear strategic recommendations for product roadmap and policy decisions • Deliver robust, leadership-ready research with rigorous analysis, compelling data visualizations, and clear narratives; effectively communicate complex methodological tradeoffs to both technical and non-technical audiences across product, engineering, policy and operations • 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

• Build and deploy production AI/ML systems for trust integrity, including feature engineering, model development and evaluation, thresholding, error analysis and end-to-end model lifecycle management. This includes working with NLP and LLM-based models in real production settings. • Partner with inference data scientists to conduct rigorous quantitative analyses, applying working knowledge of causal inference to interpret results, assess impact, and identify gaps and opportunities to improve content quality and trust outcomes. • Deliver clear, well-structured research findings with compelling data visualizations and rigorous analysis to drive alignment and action with cross-functional partners in product, engineering and operations • 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

Role Description As a Data Scientist working on Causal Inference in Community Support (CS), you will have the opportunity to collaborate with a strong team of engineers, product managers, designers, and operation agents to enable personalized, fair, and exceptional experiences for guests and hosts using advanced causal inference analysis. You'll work on high-impact projects like: - Designing rigorous experiments and quasi-experiments to measure the causal impact of CS product launches and drive data-informed launch decisions. - Building causal ML models to optimize Make Goods budget allocation and maximize business impact. - Conducting causal inference analyses to quantify the long-term effects of product changes and uncover heterogeneous treatment effects. - Delivering strategic insights on quality-cost tradeoffs, empowering leadership to deliver the best possible support experience to our community. Qualifications - 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. Requirements - 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. Benefits - Base pay range: $151,000 — $175,000 USD. - This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Company Description Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere. Our Community Support (CS) team is at the heart of that mission—delivering seamless, 10-star customer service experiences complemented by world-class, personalized human support that empowers hosts and guests at every step of their journey.

Role Description As a Data Scientist working on Algorithms in Community Support (CS), you will have the opportunity to collaborate with a strong team of engineers, product managers, designers, and operation agents to enable personalized, fair, and exceptional experiences for guests and hosts using advanced LLM/ML modeling. In this role, you'll partner closely with the tech lead to tackle significant components of high-impact projects, shaping and influencing AI-powered products, differentiated service experiences, and operational optimization strategies. You’ll work on high-impact projects like: - Implementing advanced techniques to automate the LLM evaluation process with high efficiency and quality. - Scaling high-quality synthetic datasets curation across various CS domains for training and evaluating LLM. - Building LLM/ML models to understand customer issues based on diverse datasets and identify failure modes and opportunities for improvement. - Building personalization models to offer differentiated experiences and maximize business impact. Qualifications - 2+ years of relevant industry experience (e.g. data/ML scientist, tech lead, junior faculty). - Master’s degree or PhD in relevant fields. - State-of-the-art knowledge of AI/ML models. - Strong fluency in Python/R and SQL; observation causal inference skill is a plus. - Proven ability to communicate clearly and effectively to audiences of varying technical levels. - Ability to translate complex findings and results into compelling narratives that drive impact. - Excellent project management, communication, and collaboration skills. - A product-oriented mindset, with the ability to apply conceptual and innovative thinking to develop and implement solutions that consider the user experience. Requirements - Identify high-impact business opportunities through data exploration and model prototyping. - Analyze structured and unstructured data to uncover meaningful insights and craft actionable proposals. - Build and deploy production LLM/ML models that contribute to the launch of data-driven products. - Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics. - Communicate learnings to leaders and stakeholders in a clear, compelling manner. - Think strategically about how to scale and evolve data science capabilities within your domain. Benefits - Base pay range: $151,000 — $175,000 USD. - Role may be eligible for bonus, equity, benefits, and Employee Travel Credits. Your Location This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. You must live in a state where Airbnb, Inc. has a registered entity. Our Commitment To Inclusion & Belonging Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, allowing us to attract creatively-led people and develop the best products, services, and solutions. All qualified individuals are encouraged to apply. We strive to provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact us at reasonableaccommodations@airbnb.com.