Senior Data Scientist, Airbnb

• The ideal candidate brings strong statistical intuition and hands-on modeling experience to quantify the incremental impact of Airbnb's marketing investments across channels and geographies
• They are fluent in Python, comfortable working with Bayesian frameworks, and can translate complex measurement findings into clear, actionable recommendations for senior stakeholders
• 5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D
• Deep, hands-on experience building and validating Marketing Mix Models in a production setting
• Strong working knowledge of causal inference methods, including geo-experimentation and observational approaches
• Proficiency in Python and R for statistical modeling, and SQL for data manipulation
• Ability to communicate complex concepts clearly to stakeholders at varying technical levels
• Proven track record of solving business problems through data science methods

Desirable

• MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI by generating data-driven recommendations
• We lead the way in defining and advancing best practices for measuring and optimizing marketing impact
• We collaborate with Marketing, Finance, and Engineering to provide actionable recommendations and tools based on effective, timely, and granular measurements
• Our team’s tenets are:
• Actionable: Deliver insights that drive confident business decisions
• Impactful: Prioritize projects based on their expected value to Airbnb
• Balanced: Adapt methods to business questions and data realities, acknowledging limitations
• Rigorous: Maintain methodological integrity and quantify the sensitivity of findings
• Innovative: Invest in advancing measurement science and developing new methods
• Influential: Share learnings across Airbnb and the broader data science community
• We are seeking an experienced (Contract) Sr. Data Scientist for a 24 month contract with deep expertise in marketing measurement, with a particular focus on Marketing Mix Modeling (MMM) and geo-based causal inference
• Marketing Mix Modeling: Design, build, and maintain MMM models that estimate incremental channel contributions, including prior elicitation, adstock/saturation modeling, validation, and sensitivity analysis
• Geo-Based Measurement: Develop and analyze geo-experiments (synthetic control, difference-in-differences) to measure marketing incrementality and validate MMM outputs
• Measurement Infrastructure: Build and maintain data pipelines and automated measurement systems ensuring reproducibility and scale
• AI-Accelerated Prototyping: Use AI agent workflows to rapidly develop v0 prototypes and spec-driven model implementations — compressing weeks of iteration into days
• Productionalization: Refine research prototypes into production-grade systems with proper unit testing, data validation, and code review standards
• Insight Communication: Translate complex measurement findings into clear narratives and confident budget recommendations for Marketing and Finance stakeholders