SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 180,000 - 210,000 / annual
Airbnb's People Analytics & Research team is seeking an experienced Senior Data Scientist to lead rigorous research on high-stakes workforce questions. You will apply causal inference and quasi-experimental methods to analyze how Airbnb recruits, hires, promotes, and retains talent; ensures fairness in key processes; and adapts to changing work dynamics.
In this role, you will partner closely with leaders across Recruiting, Compensation, Talent, Legal, and Diversity & Belonging to translate complex data analysis into actionable business decisions. Your work will span compensation analytics (recurring, legally sensitive analyses informing pay and rewards decisions), quality-of-hire measurement design with Recruiting, and statutory/governance reporting. You will also leverage AI tools—including Airbnb's AirPanda platform and LLM-based agents—to accelerate analysis, prototyping, and synthesis.
Key responsibilities include:
- Collaborating with stakeholders to identify people-related business problems and gather relevant data
- Applying statistical models and data science methodologies to analyze recruiting, hiring, promotion, retention, pay equity, productivity, and organizational effectiveness
- Creating meaningful visualizations and narratives to drive strategy and decision-making with business leaders
- Leading compensation analytics and quality-of-hire metric design and measurement
- Owning sensitive statutory and governance reporting
- Serving as a learner, listener, and teacher to advance data science and people analytics at Airbnb
This is a highly cross-functional role where you will translate data into insight and action, working with large practical datasets and legally sensitive information.
Requirements:
- 5+ years of industry experience and a Master's degree or PhD in a quantitative field
- Deep expertise in 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 part of your analytical toolkit
- Experience applying data science to compensation, recruiting, or broader workforce and organizational questions, including work with legally sensitive data
- Strong ability to communicate clearly and effectively with cross-functional partners of varying technical levels and drive impact
- Experience working with large practical datasets
