Senior Econometric Forecasting Lead

CoStar Group; Richmond (VA); On-site; USD 138,000 - 235,000; Full time

Benefits offered by this job

Health coverage

401(k)

Employee stock purchase plan

Tuition reimbursement

On-site fitness center

Paid time off

Job summary

CoStar Group in Richmond, VA seeks an Econometric Forecasting Lead to advance our commercial real estate forecasting models. You will own model development, refine inputs, and collaborate with product, research, and analytics teams to deliver robust forecasts.

This full-time, in-office role requires a strong background in econometrics, statistics, and CRE dynamics, plus 5–7+ years of experience and excellence in communicating complex results to non-technical stakeholders.

Qualifications

• Master’s degree in econometrics, statistics, data science, or related field.
• 5-7+ years of econometric modeling, quantitative analytics, or commercial real estate forecasting.
• Strong proficiency in SQL, R, Python; Stata a plus.
• Hands-on experience with large data sets and developing forecasting models.

Responsibilities

• Monitor forecast accuracy with metrics like RMSE/MAE and report results.
• Collaborate with analytics to develop dashboards tracking forecast accuracy for leaders and executives.
• Refine inputs/coefficients to improve forecasting precision.
• Lead quarterly reviews for forecast accuracy with analysts and external factors.
• Develop new forecast models for CRE sectors, nowcasts, and space-level analytics.
• Document forecast models/methodologies, including inputs and variables.
• Educate analytics team on forecast updates and drivers.
• Communicate process, results, and updates to external customers; support model validations.

Skills

SQL

R

Python

Stata

Econometrics

Time series

Forecasting models

Communication

Data manipulation

Education

Master’s degree

Tools

Jupyter Notebooks

NumPy

Pandas

Scikit-learn

AWS

Azure

Job description

CoStar Group in Richmond, VA seeks an Econometric Forecasting Lead to advance our commercial real estate forecasting models. You will own model development, refine inputs, and collaborate with product, research, and analytics teams to deliver robust forecasts.

This full-time, in-office role requires a strong background in econometrics, statistics, and CRE dynamics, plus 5–7+ years of experience and excellence in communicating complex results to non-technical stakeholders.