← All roles

Staff Data Scientist, Guest & Host

Airbnb· Guest & Host Data Science
Apply on company site
Hybrid (United States)$200k - $242kfull-timePosted 6mo ago

About the role

Staff Data Scientist role within Airbnb's Guest & Host Data Science organization, focusing on growth, pricing, and marketplace optimization through experimentation, causal inference, modeling, and data-driven decision making for Airbnb’s guest-host marketplace.

Responsibilities

  • Partner directly on growth initiatives to build, ship, measure incrementality of bookings/attach rate/revenue, and optimize 0-to-1 customer-facing features
  • Thought partnership with Product to define strategy, sequence iteration, scale impact via science frameworks and act as the go-to tech lead around data, experimentation, and domain understanding
  • Build observational causal inference models to deeply understand guest intent, identify underlying mechanisms, and build data products to measure impact, and inform feature objectives and tradeoffs
  • Champion AI-enabled Product Understanding, to scale data-driven frameworks, robust measurement, and compelling storytelling of data learnings to guide recommendations and roadmaps with senior leaders
  • Develop a pricing guidance system for hosts as well as experimental and observational methods to measure the impact of pricing feature launches
  • Collaborate with product and cross-functional teams to pioneer pricing strategies and translate advanced modeling into actionable recommendations
  • Develop foundational models and experimental approaches that balance supply and demand in the marketplace, leveraging empirical methods to assess and iterate on pricing feature impact
  • Craft compelling data narratives to surface actionable insights, empower data-driven decision making and influence the future direction of Airbnb’s pricing ecosystem
  • Develop models and analytic frameworks that improve listing ranking and recommendation
  • Partner closely with Machine Learning Engineers and Product to launch high-impact 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 that power ranking features, query understanding, and personalization
  • Connect marketplace thinking, modeling, and experimentation across teams and set the technical direction for modeling and experimentation in search, ranking and personalization

Qualifications

  • 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
  • Causal inference expertise. Experience with machine learning techniques in a marketplace product setting
  • Strong coding skills in SQL and either Python or R
  • Comfort with building proof-of-concept prototypes
  • Passionate about AI and possessing a learner’s attitude
  • Proven ability to be driven and succeed in collaborative environments with cross-functional stakeholders and also in independent work settings. Ability to autonomously set a roadmap for business impact
  • Proven ability to communicate clearly and effectively to audiences of varying technical levels

Skills

Required:Causal inferenceSQLPython or RMachine learningCommunicationIndependent roadmap settingCross-functional collaboration

Benefits

  • Pay Range $200,000—$242,000 USD
  • bonus, equity, benefits, and Employee Travel Credits may be applicable
  • Reasonable accommodations during recruitment process
  • Disability inclusive application and interview process
  • Equal Employment Opportunity employer
Last updated Oct 22, 2026. Interested? Apply on the company site.
Airbnb logo

About Airbnb

Book accommodations around the world.

Founded in August of 2008 and based in San Francisco, California, Airbnb is a trusted community marketplace for people to list, discover, and book unique accommodations around the world — online or from a mobile phone. Whether an apartment for a night, a castle for a week, or a villa for a month, Airbnb connects people to unique travel experiences, at any price point, in more than 33,000 cities and 192 countries. And with world-class customer service and a growing community of users, Airbnb is the easiest way for people to monetize their extra space and showcase it to an audience of millions. No global movement springs from individuals. It takes an entire team united behind something big. Together, we work hard, we laugh a lot, we brainstorm nonstop, we use hundreds of Post-Its a week, and we give the best high-fives in town. Headquartered in San Francisco, we have satellite offices in Dublin, London, Barcelona, Paris, Milan, Copenhagen, Berlin, Moscow, São Paolo, Sydney, and Singapore.

marketplacetravel
Company profileWebsite

More open roles at Airbnb