Data Scientist, Platform

Summary

Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere. The Data Scientist will apply causal inference, experimental design, and machine learning to improve Community Support products, operations, and customer experiences. The role involves developing models, measuring interventions, optimizing tradeoffs, and communicating insights to cross-functional stakeholders and leaders.

Responsibilities

• Design rigorous experiments & quasi-experiments to measure the causal impact of CS product launches and drive data-informed launch decisions
• Build causal ML models to optimize Make Goods budget allocation and maximize business impact
• Conduct causal inference analyses to quantify the long-term effects of product changes and uncover heterogeneous treatment effects
• Deliver strategic insights on quality-cost tradeoffs, empowering leadership to deliver the best possible support experience to our community
• 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

Skills

• 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
• This position is US - Remote Eligible
• While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. [Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list](https://careers.airbnb.com/)

Qualifications

Must Haves

• 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
• This position is US - Remote Eligible
• While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. [Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list](https://careers.airbnb.com/)

Benefits

• This role may also be eligible for bonus, equity, and Employee Travel Credits.
• US - Remote Eligible