United States Hybrid Employment USD 194,000 - 240,000 Yearly

Airbnb is hiring a Data Scientist

About the Role

Airbnb is hiring a Data Scientist to join the Search and Personalization Data Science team. You will play a central role in how guests discover homes, developing models, measurement frameworks, and data products that directly improve listing ranking, recommendation, and discovery.

What You'll Do

  • Develop models and analytical frameworks that improve listing ranking and recommendation, incorporating marketplace dynamics such as listing availability, supply quality, and long-term ecosystem health.
  • Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements, grounding product decisions in rigorous measurement and causal inference.
  • Build scalable data products and modeling pipelines that power ranking features, query understanding, and personalization to enable the next generation of AI-powered search experiences.
  • 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.
  • Collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives enhancing supply acquisition, retention, and success.
  • Engage with stakeholders to understand business objectives and provide data-driven solutions.
  • Build machine learning models, develop inference frameworks, and build prototypes and other data products to scale your work.
  • Apply and investigate state-of-the-art innovations to uplevel Airbnb status-quo approaches to technical problems.
  • Present work internally to engineering, product, and business strategy stakeholders to iterate and generate excitement on roadmap progress.

What We're Looking For

  • 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.
  • Strong fluency in 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 and also in independent work environments.
  • Proven ability to communicate clearly and effectively to audiences of varying technical levels.

Technical Stack

  • Python
  • R
  • SQL

Team & Environment

You will be part of the Search and Personalization Data Science team and will partner closely with Relevance Engineering, Product, and AI Search teams.

Benefits & Compensation

  • Salary range: $194,000—$240,000 USD
  • Employee Travel Credits
  • Bonus eligibility
  • Equity eligibility

Work Mode

This role is hybrid, open to candidates in the US and is remote eligible, excluding certain states.

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

Required Skills
PythonRSQLCausal InferenceMachine LearningData AnalysisQuantitative AnalysisStatisticsMulti-sided Platforms
Your first international client?

Don't lose them over invoicing

Clients ghost freelancers with unprofessional invoicing. Glopay gives you a real EU company partnership so they take you seriously from invoice #1.

Instant EU company partnership
Invoice builder with your branding
Automated payment reminders
Real-time payment tracking
Get EU company now
Ready in 24 hours
About company
Airbnb

Airbnb is a global platform connecting hosts who offer unique stays and experiences with guests, facilitating over 2 billion guest arrivals in almost every country. The company is dedicated to creating a world where anyone can belong anywhere.

Visit website
Job Details
Department Data and Analytics
Category data
Posted 14 days ago