Principal Data Scientist - Rentals Machine Learning Team

Zillow

70d • $178,300 - $284,700

About The Position

Zillow Group’s mission is to give people the power to unlock life's next chapter. In pursuit of this mission, we are actively seeking a highly skilled and experienced Principal Data Scientist to join our innovative Rentals Machine Learning team! We are passionately dedicated to rigorous research, deep analysis of complex datasets, and ultimately, the implementation of sophisticated model and data-driven solutions that are instrumental in powering a wide array of workflows and product experiences across Zillow’s rapidly expanding Rentals business.

Requirements

• A Ph.D or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar)
• 8+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving
• 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
• 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

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

Benefits

• Competitive base salary
• Equity awards based on factors such as experience, performance and location

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 251-500 employees