• Analyze large, complex datasets to understand buyer and seller behavior and uncover the drivers of key real estate and business outcomes. • Develop and deploy time‑series and econometric forecasting models that address critical customer, housing market, and business questions, without exposing proprietary product details. • Own the end‑to‑end modeling lifecycle, including scoping, feature engineering, model development, experimentation, deployment, monitoring, and model explainability. • Translate forecasts into clear insights and recommendations for senior leadership, helping stakeholders understand drivers, uncertainty, and trade‑offs that guide Zillow’s strategy. • Partner cross‑functionally with finance, product, engineering, marketing, and operations to scale and improve forecasting capabilities across Zillow. • Improve and contribute to shared forecasting tools, data pipelines, and processes used across the company. • Collaborate with other applied scientists and data scientists to develop novel solutions to real estate and business problems.