Zillow Group is seeking a Principal Data Scientist to join the Rentals Machine Learning team to design and implement testing and measurement techniques that improve understanding of the efficiency and effectiveness of existing marketplace solutions and innovations in the Rentals business.
Requirements
- Experience modeling 2-sided marketplace dynamics (inventory optimization, advertising management, supply/demand prediction, etc.)
- Strong understanding of statistical concepts, measurement methods, A/B testing, and causal inference techniques
- Experience designing and analyzing tests in online marketplace settings
- Mastery of SQL and Python, with experience with Tableau, Databricks, or other visualization software
- Experience with quantitative data analysis, experimentation and complex problem-solving
- Ph.D or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar)
Responsibilities
- Work with cross-functional stakeholders to answer questions related to model-driven listing performance
- Design and implement innovative measurement and communication techniques and tools that provide insight into our marketplace value-delivery mechanisms
- Partner with Machine Learning Engineers to develop and refine marketplace management, valuation, and recommendation models
- Lead discussions with business partners and leaders to create clarity, evaluate trade-offs, and drive decision making
- Ensure data excellence of Machine Learning experimentation data pipelines and A/B testing framework integrations
- Provide predictive insights into anticipated marketplace responses to changes in inventory prioritization methods
Other
- A Ph.D or Master's degree in a quantitative field
- 8+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving
- Superb verbal and written communication skills with the ability to distill sophisticated issues and detailed analysis into simple, structured frameworks with concrete action plans
- Ability to work cross-functionally and influence business partners to set realistic goals and focus on data-driven solutions
- Must be able to work in the United States, with limited exceptions
