Senior Data Scientist, People Analytics & Research
About The Position
Airbnb’s People Analytics & Research team is seeking an experienced Data Scientist to lead or contribute to high-priority research on its workforce. The role focuses on rigorous inferential research using observational people data, causal inference, and quasi-experimental methods to inform decisions about recruiting, hiring, promotion, retention, fairness, compensation, and how work is changing. Employee listening and survey analysis are also part of the work. The position partners with leaders and teams across Recruiting, Talent, Compensation, Legal, Diversity & Belonging, and the wider business. The Data Scientist will translate research and analysis into insights, visualizations, and recommendations that support strategy and decisions. Key areas of ownership include compensation analytics, quality-of-hire measurement, and sensitive statutory and governance reporting. The role also uses Airbnb’s AirPanda platform and LLM-based agents to accelerate analysis, prototyping, and synthesis. This is a US remote-eligible position. Occasional work at an Airbnb office or attendance at offsites may be agreed upon with the manager. Employees must live in a state where Airbnb, Inc. has a registered entity.
Requirements
- At least 5 years of industry experience.
- A Master’s degree or 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.
- Experience applying data science to compensation, recruiting, or broader workforce and organizational questions, including work with legally sensitive data.
- Ability to communicate clearly and effectively with cross-functional partners of varying technical levels and drive impact.
- Experience working with large practical datasets.
Nice To Haves
- Familiarity with survey design and analysis.
Responsibilities
- Collaborate with stakeholders to understand people-related business problems and gather relevant people data for analysis.
- Apply appropriate statistical models and data science methods to explain or predict workforce processes, including recruiting and hiring, promotion, retention, pay equity, productivity, and organizational effectiveness.
- Translate data and insights into visualizations and stories that inform strategy, action, and decision-making.
- Align research priorities with business priorities and take a customer-focused approach to working with stakeholders.
- Lead compensation analytics, including recurring, legally sensitive analyses that inform Total Rewards decisions on pay, compensation structure, and talent awards, in partnership with Employment Legal and Total Rewards.
- Lead the design and measurement of Airbnb’s quality-of-hire metric with Recruiting.
- Own sensitive statutory and governance reporting.
- Use AI, including the AirPanda platform and LLM-based agents, to accelerate analysis, prototyping, and synthesis.
- Continue learning, listening, and teaching to advance data science, people analytics, and Airbnb.
Benefits
- The role may be eligible for a bonus, equity, benefits, and Employee Travel Credits.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
