Overview

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The community you will join

People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. Our work is highly sought-after, and impacts stakeholders in our People function, and across the business. In this role, you will take on some of the hardest questions about Airbnb’s workforce – how we recruit, pay, develop, and retain our people – partnering with leaders across Recruiting, Compensation, Talent, and the wider business to turn rigorous analysis into decisions they act on.

The difference you will make

The People Analytics & Research team is looking for an experienced Data Scientist to lead and/or contribute to our most important research – applying causal inference and quasi-experimental methods to high-stakes people questions: how we recruit, hire, promote, and retain a best-in-class workforce; how we keep key company processes fair; and how work itself is changing. Employee listening and survey analysis are part of the mix, but the heart of the role is rigorous inferential research on observational people data. The role is highly cross-functional, and you will partner with Recruiting, Talent Leaders, Compensation, Legal, and Diversity & Belonging. We need a Data Scientist with a proven track record of translating data into insight and action.

If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you.

A typical day

  • Collaborate with partners and stakeholders to understand people-related business problems, and gather and analyze data to answer them.
  • Utilize appropriate statistical models and data science methodologies to gain insights, explain, or predict outcomes.
  • Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decisions.
  • Align research priorities with business priorities and take a customer-focused mindset in working with stakeholders.
  • Lead the team’s compensation analytics – the recurring, legally sensitive analyses that inform Total Rewards decisions.
  • Lead design and measurement of Airbnb’s quality-of-hire metric with Recruiting, and own sensitive statistical analyses.
  • Be a constant learner, active listener, and teacher to advance data science, people analytics, and AI fluency.
  • Use AI fluently – including the team’s AirPanda platform and LLM-based agents – to accelerate analysis and research.

Your expertise

  • 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, as one of several methods in the toolkit.
  • Experience applying data science to compensation, recruiting, or broader workforce and organizational questions.
  • Ability to communicate clearly and effectively to cross-functional partners of varying technical levels.
  • Experience working with large practical datasets.

Your location

This position is US – Remote Eligible. The role may include occasional work at an Airbnb office or a client site.

Pay range

$180,000—$210,000 USD