Econometric Forecasting Lead
Core
Lead the development and refinement of econometric forecasting models for commercial real estate sectors, ensuring accuracy and reliability for product offerings.
Role type
Senior IC econometric forecasting lead
Builds
Production forecasting models and dashboards for commercial real estate analytics
Domain
Commercial real estate + econometrics/statistics
Deliverable
production ML models
Required skills
Econometric modeling, time series forecasting, regression analysis, SQL, R, Python, commercial real estate market dynamics, statistical analysis, data manipulation
Preferred skills
Python data science libraries (Pandas, Scikit-learn), cloud platforms (AWS, Azure), space-level analytics, granular building data modeling
Technologies
SQL, SSMS, Databricks, R, Python, Stata, Jupyter Notebooks, Numpy, Pandas, Scikit-learn, AWS, Azure
Responsibilities
Monitor and track forecast accuracy using defined metrics (RMSE, MAE), refine existing forecasting models and variables, develop new forecast models for specialty sectors, lead quarterly review processes for forecast accuracy, maintain documentation on model methodologies, educate the analytics team on forecast updates, communicate forecast results and guidelines to external customers
Seniority
Senior, hands-on IC
