Econometric Forecasting Lead

Econometric Forecasting Lead

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. We are on a mission to digitize the world’s real estate, empowering people to discover properties, insights and connections that improve their businesses and lives.

This full‑time, in‑office position will be based in our Richmond, VA office. We are seeking a highly skilled, results‑driven Econometric Forecasting Lead to enhance and improve our commercial real estate forecasting models. The successful candidate will have a strong background in econometrics, statistical modeling, and commercial real estate, with expertise in improving forecasting accuracy, innovating new models, and refining existing processes.

• Monitor and track forecast accuracy using defined metrics (e.g., RMSE, MAE), providing regular reports on accuracy/back testing and serving up data points used.
• Work with the analytics team to serve up data for dashboard development to track forecast accuracy, making insights actionable for analysts, department leaders, and executives.
• Explore new economic inputs and refine existing variables and coefficients to enhance the precision and accuracy of existing forecasting models.
• Conduct independent and creative quantitative research applied toward the evaluation, tracking, and improvement of CRE models, data series, and estimations.
• Lead and refine the quarterly review process for forecast accuracy, incorporating feedback from analysts and external factors to improve models.
• Develop and innovate new forecast models for specialty real estate sectors, nowcasts, space‑level analytics, and emerging real estate markets.
• Maintain clear documentation on forecast models and methodologies, including explanation of inputs, variables, etc.
• Provide ongoing education to the analytics team on forecast updates and drivers and forecast accuracy.
• Lead communication of forecast process, guidelines, results, and updates to external customers, including back testing and accuracy review.
• Assist customers with model validations.

• Master’s degree in econometrics, statistics, data science, or a related field from an accredited, not‑for‑profit, in‑person college or university.
• 5–7+ years of relevant experience in econometric modeling, quantitative analytics, or commercial real estate forecasting.
• Strong proficiency in SQL (SSMS/Databricks), R, and Python for data manipulation, analysis, and modeling (proficiency in Stata a plus).
• Expertise in econometric models, including regression analysis, time series forecasting, and advanced statistical techniques.
• Hands‑on experience working with large data sets.
• Proven experience in developing and refining forecasting models.
• Strong understanding of commercial real estate dynamics, market drivers, and forecasting challenges.
• Exceptional communication skills, with the ability to explain complex models to non‑technical stakeholders.
• Highly organized with heightened attention to detail.
• Proactive and self‑driven, consistently taking initiative to identify and implement improvements.

• Advanced degree (Master’s, PhD) in econometrics, statistics, data science, or related field from an accredited, not‑for‑profit, in‑person college or university.
• Experience with Python‑based common data science tools such as Jupyter Notebooks, Num Py, Pandas, Scikit‑learn, etc.
• Experience writing clean, reproducible, robust, and scalable analysis code.
• Familiarity with cloud platforms (e.g., AWS, Azure) and data migration processes.
• Experience in space‑level analytics or granular building data modeling.

• Comprehensive healthcare coverage: medical, vision, dental, prescription drug, life, legal, and supplementary insurance.
• Virtual and in‑person mental health counseling services.
• Commuter and parking benefits.
• 401(k) retirement plan with matching contributions.
• Employee stock purchase plan.
• Paid time off.
• Tuition reimbursement.
• On‑site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Peloton, personal training, group…