Remote Applied Scientist - Housing Market Forecasting

Zillow Group Inc.; United States; Remote; USD 132,000 - 223,000; Full time

Job summary

Zillow Group Inc. in the United States seeks an Applied Scientist specializing in traditional econometrics and machine learning, focused on time series and hierarchical forecasting.

You will collaborate with economists, data scientists, and engineers to build forecasts of the housing market at regional scales. The role emphasizes model development, feature extraction from economic and demographic drivers, and deployment to production, with monthly forecast cycles and scenario modeling to

Qualifications

• 2+ years of proven experience in time series/spatial forecasting.
• Strong background in econometrics and ML methods.
• Experience with large-scale datasets and distributed computing frameworks.
• Proficiency in model evaluation, backtesting, and forecast accuracy metrics.

Responsibilities

• Collaborate with other applied scientists, data scientists and economists to develop hierarchical forecasts for the housing market at regional levels.
• Identify economic and demographic driving forces and extract features predicting housing trends 1–2 years ahead.
• Work with engineering to deploy models into production environments.
• Contribute to monthly forecast production and communicate outlook to business partners and leadership.
• Develop scenario models for stress testing and broader forecasting framework.

Skills

Time series forecasting

Hierarchical forecasting

Econometrics

Machine learning

Statistical analysis

Large-scale datasets

Spark

Education

Master’s or PhD degree in relevant field

Tools

Spark

Python

Cloud platforms (AWS/GCP)

Distributed computing

Job description

Zillow Group Inc. in the United States seeks an Applied Scientist specializing in traditional econometrics and machine learning, focused on time series and hierarchical forecasting.

You will collaborate with economists, data scientists, and engineers to build forecasts of the housing market at regional scales. The role emphasizes model development, feature extraction from economic and demographic drivers, and deployment to production, with monthly forecast cycles and scenario modeling to