Applied Scientist

About the team Join our dynamic team, leveraging a comprehensive database of over 100 million homes, transactions, and users to predict and analyze housing market trends. As an Applied Scientist specializing in traditional econometrics and machine learning with a focus on time series and hierarchical forecasting, you will play a critical role in shaping our understanding and forecasting of the housing market. About the role As an Applied Scientist you will actively participate in Collaborative Forecast Development: Work alongside other applied scientists, data scientists and economists to develop hierarchical forecasts for the housing market at various regional levels: Feature Extraction: Identify economic and demographic driving forces of housing market growth across regions and extract features that predict housing market trends 1 to 2 years in the future. Model Deployment: Collaborate closely with the engineering team to deploy models into production environments. Forecast Production: Contribute to monthly forecast production, communicating forecast performance and the housing market outlook to business partners and senior leadership team. Scenario Modeling: Develop scenario models that capture a wide range of housing market outcomes and contribute to a company-wide stress-testing framework. This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice,…