Applied Scientist, Housing Market Forecasting

Zillow Group

Remote, US
Base: competitive; equity: eligible based on facto...
Fully remote
Traditional econometric methods
Time series forecasting expertise
Hierarchical forecasting models
This role leverages a comprehensive database of over 100 million homes to predict and analyze housing market trends

Job Summary

  • This role leverages a comprehensive database of over 100 million homes to predict and analyze housing market trends.
  • The successful candidate will collaborate with engineers to deploy robust models into production environments for monthly forecast production.
  • Zillow offers competitive base salary, benefits, and equity awards based on experience, performance, and location.

Matching Summary

This role leverages a comprehensive database of over 100 million homes to predict and analyze housing market trends.

Salary

Base: Competitive; Equity: Eligible based on factors; Benefits: Included

Skills & Requirements

Must-have

  • Traditional econometric methods
  • Time series forecasting expertise
  • Hierarchical forecasting models
  • Feature extraction for housing data
  • Distributed computing frameworks like Spark
  • Model deployment to production environments

Nice-to-have

  • Strong interest in housing market dynamics
  • Experience with panel data analysis
  • Ability to communicate complex concepts
  • Passion for innovative problem solving
  • Familiarity with stress-testing frameworks

Key Requirements

  • Master's or PhD in Statistics, Economics, or related field
  • 2+ years of proven time series forecasting experience
  • Proficiency in Python and Git version control

Work Rights

Must be located in one of the 50 United States

Tailored Resume

Cover Letter