Senior Applied Scientist, Forecasting
Core
Design, implement, and refine advanced statistical and machine learning approaches to generate accurate, scalable forecasts for Zillow's business lines.
Role type
Senior Applied Scientist (Forecasting)
Builds
Production forecasting models and backtesting frameworks for real estate and business planning
Domain
Real Estate / Business Forecasting
Deliverable
production ML models
Required skills
Time-series forecasting, Econometrics, Statistical modeling, Machine learning, Data engineering, Python, SQL, Model explainability, Feature engineering
Preferred skills
Advanced degree in quantitative discipline, Experience with incomplete/noisy data, Cross-functional collaboration
Technologies
Python, SQL
Responsibilities
Design and evaluate statistical, econometric, and machine learning methods for forecasting problems; Build backtesting and validation frameworks to assess forecast accuracy; Own the end-to-end modeling lifecycle including deployment and monitoring; Translate forecasts into clear insights and recommendations for senior leadership; Partner cross-functionally with finance, product, engineering, marketing, and operations to scale forecasting capabilities.
Seniority
Senior, hands-on IC
