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Phd In Econometrics Jobs in Virginia (NOW HIRING)

CoStar Group

Econometric Forecasting Lead

Richmond, VA · On-site

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 ...

CoStar

Econometric Forecasting Lead

Richmond, VA

PREFERRED QUALIFICATIONS 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 ...

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Phd In Econometrics information

What are the key skills and qualifications needed to thrive as a PhD in Econometrics, and why are they important?

To thrive as a PhD in Econometrics, you need advanced expertise in statistical theory, econometric modeling, and data analysis, typically supported by a doctoral degree in economics or a related field. Proficiency in statistical software such as Stata, R, Python, or SAS, as well as experience with large datasets and econometric methodologies, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you convey complex findings to diverse audiences. These skills are crucial for producing rigorous research, informing policy, and contributing valuable insights in academic, governmental, or industry settings.

What is a PhD in Econometrics?

A PhD in Econometrics is an advanced academic degree focused on the application of statistical and mathematical methods to economic data. It prepares students to conduct original research, develop new econometric models, and analyze complex economic problems using quantitative techniques. Graduates often pursue careers in academia, research institutions, government agencies, or the private sector, where advanced data analysis and economic modeling skills are in high demand.

What are some common career paths for someone with a PhD in Econometrics?

With a PhD in Econometrics, graduates often pursue careers in academia as professors or researchers, but there are also numerous opportunities in the private and public sectors. Many work as quantitative analysts, data scientists, or policy advisors in financial institutions, government agencies, international organizations, or consulting firms. The advanced analytical and statistical skills developed during the PhD are highly valued in roles that involve complex data analysis, economic modeling, and policy evaluation. Collaboration with interdisciplinary teams, including economists, data engineers, and policymakers, is common, providing a dynamic work environment and pathways for professional growth.
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Econometric Forecasting Lead

CoStar Group

Richmond, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Econometric Forecasting Lead
Job Description
OVERVIEW
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 have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our Clients. We've continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our Clients, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our Clients, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.
ABOUT THE ROLE
We are seeking a highly skilled and results-driven Econometric Forecasting Lead to take ownership of enhancing and improving 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. This individual will play a key role in our analytics team, working closely with product, research, and quantitative analytics teams to improve our product offerings and ensure our forecasting models remain robust and reliable.
This is a full-time in-office position that will be based in our Richmond, VA office.
RESPONSIBILITIES
  • 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 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.
  • Develop and innovate new forecast models for specialty real estate sectors, nowcasts, space-level analytics, and other emerging real estate markets.
  • Maintain clear documentation on forecast models and methodologies, including explanation of inputs, variables, etc.
  • Provide ongoing education to 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.

BASIC 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.
  • 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.

PREFERRED QUALIFICATIONS
  • 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, Numpy, 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.

WHAT'S IN IT FOR YOU:
When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.
We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training and tuition reimbursement.
Our benefits package includes (but is not limited to):
  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
  • Life, legal, and supplementary insurance
  • Virtual and in person mental health counseling services for individuals and family
  • 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, Pelotons, personal training, group exercise classes
  • Access to CoStar Group's Employee Resource Groups
  • Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks

We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position.
The final salary or hourly rate offered for this rolewill fall within the range set forth below based on a variety of factors, including but not limited to, geographic location, skills, and competencies.
Base Compensation: $137,800.00 - $235,400.00 Annually
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CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

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