Senior Data Scientist

Job Summary

To support the development of forecasting models and proprietary housing indices, the full-time Senior Data Scientist will build, validate, and maintain econometric models while collaborating with economists and engineers in a remote environment.

Key Responsibilities

• Build, validate, and maintain time-series and econometric forecasting models, including backtest design and model diagnostics
• Advance methodologies for published forecasts and indices, adapting to evolving data sources and best practices
• Partner with economists and researchers to brainstorm, test, and refine new forecasting models

Required Qualifications

• 5+ years of experience in building and validating forecasting or predictive models on large datasets
• Strong proficiency in time-series methods, Python, and SQL; R is a plus
• Experience in version-controlled environments, treating models as code
• Ability to maintain models post-deployment, including monitoring and diagnosing drift
• Bachelor's degree in a quantitative discipline or equivalent applied experience