Staff Data Scientist, Guest & Host

Details

You will join Airbnb's Guest and Host Data Science organization, which powers products and data-driven decisions across Airbnb's marketplace of guests and hosts. The team includes data scientists, analysts, engineers, product managers, and designers who build, launch, and iterate on product initiatives through experimentation, modeling, foundational tools, and insights.

Responsibilities

Growth Product Data Science

• Partner on growth initiatives to build, ship, measure the incrementality of bookings, attach rate, and revenue, and optimize customer-facing features.
• Work with Product to define strategy, sequence iterations, and scale impact through science frameworks.
• Serve as a technical lead for data, experimentation, and domain understanding.
• Build observational causal inference models to understand guest intent, identify underlying mechanisms, and create data products that measure impact and inform feature objectives and tradeoffs.
• Champion AI-enabled product understanding to scale data-driven frameworks, robust measurement, and data storytelling for senior leaders.

Pricing Data Science

• Develop pricing guidance systems for hosts and experimental and observational methods to measure the impact of pricing feature launches.
• Collaborate with product and cross-functional teams to develop pricing strategies and translate advanced modeling into actionable recommendations.
• Develop foundational models and experimental approaches that balance marketplace supply and demand.
• Use empirical methods to assess and iterate on pricing feature impact.
• Create data narratives that surface actionable insights and influence the direction of Airbnb's pricing ecosystem.

Marketplace Optimization and Ranking

• Develop models and analytical frameworks to improve listing ranking and recommendations, incorporating listing availability, supply quality, and long-term ecosystem health.
• Partner with Machine Learning Engineers and Product to launch search improvements.
• Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements.
• Build scalable data products and modeling pipelines for ranking features, query understanding, and personalization.
• Set technical direction for modeling and experimentation in search, ranking, and personalization.

Requirements

• Expertise in causal inference.
• Experience with machine learning techniques in a marketplace product setting.
• At least 9 years of relevant industry experience.
• Master's degree or PhD in a quantitative field.
• Strong coding skills in SQL and either Python or R.
• Experience building proof-of-concept prototypes.
• Passion for AI and a learner's attitude.
• Ability to succeed in collaborative environments with cross-functional stakeholders and in independent work settings.
• Ability to autonomously set a roadmap for business impact.
• Strong written and verbal communication skills for audiences with varying technical levels.
• Curiosity, optimism, and a drive to lead innovation in AI-enabled experimentation, data-driven decision-making, domain-relevant input metrics, and understanding of end-to-end guest product journeys.

Location

This position is US remote eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with the manager. The employee must live in a state where Airbnb, Inc. has a registered entity.

Compensation

The base pay range is $200,000–$242,000 USD. The role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Inclusion and Equal Employment Opportunity

Airbnb is committed to inclusion and belonging and encourages qualified individuals to apply. Airbnb provides reasonable accommodations throughout the recruitment and interview process and is an equal employment opportunity employer.