Hiring: Econometric Forecasting Lead Company: CoStar Group Location: Richmond, VA Job Posted Time: 2026-09-16 23:42:35 Employment Type: Full-time / On-site Target Skills & Keywords : AWS, Azure, Databricks, Jupyter, Jupyter Notebook, NumPy, Pandas, Python, R, SQL, scikit-learn About the job Experience: •7+ years of relevant experience in years of experience in econometric modeling, quantitative analytics, or commercial real estate forecasting. Required Skills: •CoStar Group is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. •We are seeking a highly skilled and results-driven •This is a full-time in-office position that will be based in our Richmond, VA office. •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. •Interface directly with the analytics team to serve up data for the development of dashboards to track forecast accuracy, making insights actionable for analysts, department leaders, and executives. •Continually 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 towards 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. Qualifications: •Master's degree in econometrics, statistics, data science, or related field from an accredited, not-for-profit, in-person college or university. •Track record of commitment to prior employers. •5-7+ years of relevant experience in years of experience in econometric modeling, quantitative analytics, or commercial real estate forecasting. •Strong proficiency in SQL (SSMS/Databricks), R, 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. •In-depth knowledge 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 Compensation: •$137,800 - $235,400 / year •401(K) retirement plan with matching contributions Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!