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Senior Data Scientist, People Analytics & Research

Airbnb· People Analytics & Research
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Hybrid (US)$180k - $210kFull-timePosted 5d ago

About the role

Senior Data Scientist role focusing on causal inference and quasi-experimental methods to address high-stakes people questions (recruiting, pay, development, retention) with cross-functional collaboration across Recruiting, Compensation, Talent, Legal, and Diversity & Belonging.

Responsibilities

  • Collaborate with partners and stakeholders to understand people-related business problems, and gather relevant people data to analyze
  • Utilize statistical models and data science methodologies to gain insights, explain, or predict processes such as recruiting and hiring, promotion, retention, pay equity, productivity, and organizational effectiveness
  • Translate data and insights into visualizations and stories to drive strategy and decision-making with leaders across the business
  • Align research priorities with business priorities and maintain a customer-focused mindset in stakeholder engagement
  • Lead the team's compensation analytics – recurring, legally sensitive analyses informing Total Rewards decisions on pay, compensation structure, and talent awards – in partnership with Employment Legal and Total Rewards
  • Lead design and measurement of Airbnb's quality-of-hire metric with Recruiting, and own sensitive statutory and governance reporting
  • Be a constant learner, active listener, and teacher to advance data science, people analytics, and Airbnb
  • Use AI fluently (AirPanda platform and LLM-based agents) to accelerate analysis, prototyping, and synthesis, and to extend research delivery

Qualifications

  • 5+ years in industry experience and a Master’s degree/PhD in a quantitative field
  • Deep experience with causal inference on observational data and quasi-experimental research design and analysis
  • Proficiency in R or Python for statistical analysis, and SQL for data access
  • Familiarity with survey design and analysis
  • Experience applying data science to compensation, recruiting, or broader workforce and organizational questions, including work with legally sensitive data
  • Ability to communicate clearly to cross-functional partners and drive impact
  • Experience working with large practical datasets

Skills

Required:Causal inference on observational dataStatistical programming (R or Python)SQLData storytelling and visualizationCommunication across cross-functional stakeholdersExperience with legally sensitive data
Nice to have:Survey design and analysis
Last updated Oct 22, 2026. Interested? Apply on the company site.
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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.

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