The Principal Data Scientist, Experimentation role is a key scientific and strategic leader in advancing Zillow’s experimentation capabilities. The role involves designing, validating, and scaling statistical methodologies for trustworthy experimentation across various products, platforms, and customer experiences.
Requirements
- Deep expertise in online experimentation, including frequentist and Bayesian methods, causal inference, and a thorough understanding of experimentation maturity models
- Proven track record of designing and scaling statistical frameworks for experimentation and measurement at a technology company
- Strong understanding of the common challenges in online experimentation platforms, including Sample Ratio Mismatch, experiment interference, and data interpretation pitfalls, and experience in developing solutions for these issues
Benefits
- Comprehensive medical, dental, vision, life, and disability coverages
- Parental leave, family benefits, retirement contributions, and paid time off
- Equity awards based on factors such as experience, performance, and location