Role Overview
The People Analytics & Research team is looking for an experienced Data Scientist to lead and/or contribute to our most important research – applying causal inference and quasi-experimental methods to high-stakes people questions.
What You Will 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.
Why It Might Be a Fit
The role is highly cross-functional, and you will partner with Recruiting, Talent Leaders, Compensation, Legal, and Diversity & Belonging. We need a Data Scientist with a proven track record of translating data into insight and action.
Requirements
- 5+ years in industry experience
- 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, including work with legally sensitive data
- Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact
- Experience working with large practical datasets
Benefits
- Bonus
- Equity
- Benefits
- Employee Travel Credits
To apply for this job please visit careers.airbnb.com.
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