Senior Data Scientist, People Analytics & Research

Details

People Analytics & Research is a team of Data Scientists, Data Engineers, and Analysts whose work impacts stakeholders across Airbnb's People function and the wider business. The role focuses on applying causal inference and quasi-experimental methods to high-stakes workforce questions, including recruiting, hiring, promotion, retention, pay equity, productivity, organizational effectiveness, and fairness in company processes.

Responsibilities

• Collaborate with partners and stakeholders to understand people-related business problems and gather relevant people data.
• Apply statistical models and data science methodologies to explain or predict workforce-related processes.
• Translate data and insights into meaningful visualizations and narratives that support strategy, action, and decision-making.
• Align research priorities with business priorities and maintain a customer-focused mindset when working with stakeholders.
• Lead compensation analytics, including legally sensitive recurring 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.
• Partner with Recruiting, Talent leaders, Compensation, Legal, and Diversity & Belonging.
• Use AI, including the team's AirPanda platform and LLM-based agents, to accelerate analysis, prototyping, and synthesis.
• Contribute to advancing data science and people analytics practices through learning, listening, and teaching.

Requirements

• 5+ years of industry experience.
• 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.
• Proficiency in SQL for data access.
• Familiarity with survey design and analysis.
• Experience applying data science to compensation, recruiting, workforce, or organizational questions, including work with legally sensitive data.
• Ability to communicate clearly and effectively with cross-functional partners at varying technical levels and drive impact.
• Experience working with large practical datasets.

Work Location

This position is remote eligible in the United States. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with the manager. The employee must live in a state where Airbnb, Inc. has a registered entity.

Compensation

The base pay range is $180,000–$210,000 USD. The role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.