The opportunity
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…
What you'll do
Collaborate with partners and stakeholders to understand people-related: business problems, and gather relevant people data to analyze
Utilize appropriate statistical models and data science methodologies to gain: insights, explain, or predict a wide variety of people-related processes, such as recruiting and hiring, promotion, retention, pay equity, productivity, and organizational effectiveness, among others
Translate data and insights into meaningful visualizations and stories to: drive strategy, action, and decision-making with leaders across the business
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 on pay, compensation structure, and talent awards - in close 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
What they're looking for
- Be a constant learner, active listener, and teacher to advance data science, people analytics, and Airbnb
- Use AI fluently: including the team's AirPanda platform and LLM-based agents - to accelerate analysis, prototyping, and synthesis, and to extend what a single researcher can deliver
- + 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
