Description
We are seeking a Senior Data Scientist to join the People Analytics & Research team at Airbnb. The successful candidate will lead and contribute to high-stakes research projects, applying causal inference and quasi-experimental methods to people-related business problems. The role involves collaborating with stakeholders to understand business needs, gathering and analyzing relevant data, and translating insights into actionable recommendations.
Responsibilities:
- Collaborate with partners and stakeholders to understand people-related business problems and gather relevant data
- Utilize statistical models and data science methodologies to gain insights and drive strategy
- Translate data and insights into meaningful visualizations and stories to drive decision-making
- Lead the team's compensation analytics and design and measurement of Airbnb's quality-of-hire metric
- Be a constant learner, active listener, and teacher to advance data science and people analytics
Requirements:
- 5+ years of 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
- Experience applying data science to compensation, recruiting, or broader workforce and organizational questions
- Ability to communicate clearly and effectively to cross-functional partners
Benefits:
- Competitive salary ($180,000 - $210,000 USD)
- Bonus and equity eligibility
- Comprehensive benefits package
- Employee Travel Credits
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