Zillow
Applied Scientist
$132K–$223K
Remote-USA · Remote · Full-time · Posted Oct 7, 2026
- Experience
- 2+ years of proven experience working in time series/spatial forecasting space.
- Education
- Master’s or PhD degree in Mathematics, Statistics, Economics, Econometrics, Physics, Earth Sciences, or a related scientific field
About the job
Develop and deploy hierarchical housing-market forecasts, scenario models, and analyses to inform business partners and leadership.
What you'll do
- Collaborate on regional housing-market forecasts and identify economic and demographic features predictive of trends 1 to 2 years ahead.
- Work with engineering to deploy models; contribute to monthly forecast production and communicate performance and outlook.
- Develop scenario models and contribute to a company-wide stress-testing framework.
What they ask for
- Strong foundation in traditional econometric methods and modern machine learning techniques; proficiency in time-series data preparation, feature engineering, evaluation, and validation.
- Experience with large-scale datasets and cloud-based tools for deploying and monitoring machine-learning models.
- Proficiency in building AI agents to automate manual work; strong written and verbal communication skills.
- Strong interest in and understanding of the housing market and its economic drivers.
Nice to have
- Familiarity with distributed computing frameworks such as Spark.
Pay
USD 139,400.00 - USD 222,600.00 annually (base salary); USD 132,400.00 - USD 211,600.00 annually (base salary)
Tools
Spark
AI focus
Build AI agents to automate manual work.
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