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Staff Data Scientist, Marketplace Optimization and Ranking

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Airbnb

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

194000.00 - 240000.00 USD / Year
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Job Description:

You will join the Search and Personalization Data Science team, which drives how guests discover homes on Airbnb. Search is the core entry point to the marketplace, and our team works at the intersection of ranking systems, marketplace dynamics, and emerging AI-powered search experiences. We build the data products, modeling frameworks, and experimentation systems that power Airbnb’s search and recommendation stack. Our work ensures search results are highly relevant for guests while supporting the long-term health of the marketplace by balancing demand, supply, and ecosystem quality.

Job Responsibility:

  • Develop models and analytical frameworks that improve listing ranking and recommendation
  • 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
  • Partner closely with Relevance Engineering and Product to launch high-impact search improvements
  • Set technical direction for modeling and experimentation in Search and Personalization
  • Mentor other data scientists and raise the bar for building durable data products
  • Connect marketplace thinking, modeling, and experimentation across teams to guide product strategy
  • Cross-functional collaboration with teams across product, engineering, and operations
  • Stakeholder engagement to understand business objectives and provide data-driven solutions
  • Build machine learning models, develop inference frameworks, and build prototypes and other data products
  • Apply and investigate state-of-the-art innovations to uplevel Airbnb status-quo approaches
  • Regularly present work internally to engineering, product, and business strategy stakeholders

Requirements:

  • 9+ years of relevant industry experience
  • Master’s degree or PhD in a quantitative field
  • Strong fluency in Python or R for hands-on IC work
  • SQL for advanced data analysis at scale
  • Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
  • Proven ability to succeed in collaborative environments with cross-functional stakeholders
  • Proven ability to succeed in independent work environments
  • Proven ability to communicate clearly and effectively to audiences of varying technical levels
What we offer:
  • bonus
  • equity
  • benefits
  • Employee Travel Credits

Additional Information:

Job Posted:
March 20, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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