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[Remote] Staff Data Scientist, Guest & Host

Remote, USA Full-time Posted 2026-06-16

Note: The job is a remote job and is open to candidates in USA. Airbnb, founded in 2007, has grown to over 5 million hosts and 2 billion guest arrivals globally. The company is seeking a Staff Data Scientist to join their Guest and Host Data Science organization, focusing on growth initiatives, pricing strategies, and marketplace optimization through data-driven frameworks and modeling. The role involves collaboration with cross-functional teams to enhance product features and drive business growth.

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 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. This includes incorporating marketplace dynamics such as listing availability, supply quality, and long-term ecosystem health into ranking decisions
  • 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. Your work will help enable the next generation of AI-powered search experiences at Airbnb
  • Connect marketplace thinking, modeling, and experimentation across teams and set the technical direction for modeling and experimentation in search, ranking and personalization

Skills

  • Causal inference expertise. Experience with machine learning techniques in a marketplace product setting
  • 9+ years of relevant industry experience and a Master's degree or PhD in a quantitative field
  • 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

Benefits

  • This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Company Overview

  • Airbnb is an online community marketplace for people to list, discover, and book accommodations through mobile phones or the Internet. It was founded in 2008, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.airbnb.com.
  • Company H1B Sponsorship

  • Airbnb has a track record of offering H1B sponsorships, with 27 in 2026, 234 in 2025, 176 in 2024, 160 in 2023, 270 in 2022, 250 in 2021, 274 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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