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Real Estate Data Science Jobs in Virginia (NOW HIRING)

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Develop pro forma financial models based on analyses of economic, demographic, and real estate market data, e.g., rent growth and vacancy assumptions, and develop forecasts of multi-family market and ...

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Real Estate Data Science information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do real estate data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for real estate data science in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 per year, depending on experience, location, and employer.

How is data science used in real estate?

In real estate, data science is used by professionals to analyze market trends, predict property values, and identify investment opportunities. It involves techniques like machine learning, statistical modeling, and data visualization to support decision-making and optimize property management. Skills in data analysis tools and understanding of real estate markets are essential for data scientists in this field.

What are the typical daily responsibilities of a real estate data scientist?

As a Real Estate Data Scientist, your daily tasks often include collecting, cleaning, and analyzing property and market data to identify trends and generate predictive models. You'll collaborate with real estate analysts, agents, and business leaders to translate data-driven insights into actionable recommendations, such as pricing strategies or investment opportunities. Additionally, you may develop dashboards, automate reporting processes, and stay updated on emerging data sources or analytical techniques relevant to the real estate industry. This role offers the chance to have a direct impact on business outcomes while working in a dynamic, team-oriented environment.

What are the key skills and qualifications needed to thrive as a real estate data scientist?

To excel in Real Estate Data Science, you need strong analytical abilities, a background in statistics or economics, and experience with data modeling or machine learning, often supported by a relevant degree. Mastery of tools such as SQL, Python or R, and familiarity with GIS software or real estate databases is highly valued, along with certifications like Certified Analytics Professional (CAP) being a plus. Effective communication, critical thinking, and cross-functional teamwork skills distinguish top performers in this field. These qualifications enable professionals to extract actionable insights from complex real estate data, directly driving informed business decisions and market strategies.

What is a real estate data scientist?

A Real Estate Data Science job involves analyzing property-related data to identify trends, predict market movements, and optimize investment decisions. Professionals in this field use machine learning, statistical modeling, and big data techniques to assess property values, rental yields, and risk factors. They work with real estate firms, investors, and lenders to make data-driven decisions, improve portfolio performance, and enhance market strategies.

What are the most commonly searched types of Real Estate Data Science jobs in Virginia?

The most popular types of Real Estate Data Science jobs in Virginia are:

What cities in Virginia are hiring for Real Estate Data Science jobs?

Cities in Virginia with the most Real Estate Data Science job openings:

Infographic showing various Real Estate Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

RER Solutions, Inc., is accepting resumes for a Real Estate  Financial Analyst position in the Washington, DC, area. The  Real Estate   Financial Analyst will provide on-site support, overseeing the Army’s Military Housing Privatization Initiative (MHPI) on our Army Portfolio & Asset Management project.


MHPI projects are master-planned residential communities and are located at Army Installations nationwide. The Military Housing group identifies and implements strategies that allow public sector organizations to fully leverage their real property in close alignment with their organizational missions. Further, the Military Housing group assists the Client in developing policy directives and provides various written materials to facilitate the Client and Congressional decision-making processes.


RESPONSIBILITIES

  • Proactively and effectively, and promptly, communicate multiple project statuses to program managers on both routine and ad hoc bases
  • Advise DOD clients on all aspects of large-scale housing privatization projects, including commercial real estate finance and financial analysis, property management, construction performance and cost oversight, and basic legal document review
  • Maintain financial performance, reporting databases, and document management websites
  • Monitor project performance indicators, develop short and long-term cash flow projections, critically review and summarize operating and capital budgets across individual multi-family properties and portfolios, and develop and propose recommendations to address operational, capital expenditure, and property management challenges in potentially financially resource limited environments
  • Advise on all aspects of large-scale privatization of other public sector real estate projects, including property management, development, construction, finance, and legal document review. Requires a basic understanding of institutional level commercial real estate finance principles and practices, including securitization/offering memorandums and complex financial modeling and projections
  • Review and analyze project legal documents, financial reports, and operating plans as part of the project and portfolio level due diligence process, to assist in negotiations, ongoing portfolio management, and in analyzing complex equity and debt structures
  • Develop pro forma financial models based on analyses of economic, demographic, and real estate market data, e.g., rent growth and vacancy assumptions, and develop forecasts of multi-family market and sub-market supply.
  • Review and audit monthly and quarterly financial, operational, and management reports from program partners, private developers/asset managers, and other existing and prospective program stakeholders.
  • Prepare client deliverables, including reports and presentations in both Word and PowerPoint. Candidate should have recent, expert level experience in modeling complex financial problems, preferably in a commercial real estate environment

REQUIREMENTS

  • Minimum of US Citizenship is required to obtain client-issued Public Trust
  • 2+ years of private-sector financial management, analysis, and report writing experience
  • Robust experience in auditing, manipulating, and creating operating and development proformas
  • Strong financial/analytical skills related to commercial real estate, including cash flow waterfalls, partner return requirements, hurdles, and parameters
  • Familiarity with commercial real estate financial/strategic feasibility and financing/ownership structure modeling and analysis 
  • Experience in asset and portfolio management (annual budgeting, monthly reporting, portfolio roll-up) and Transaction Management (Acquisitions/Dispositions/Sale-Leaseback/Refinancing/Re-capitalizations/Enhanced-Use Leasing)
  • Experience enhancing financial reporting and analysis through the development, implementation, and use of both asset (multi-family) specific and general AI tools and applications is desired.
  • Previous experience integrating generative and machine-learning into similar tasks, specifically in multi-family real estate projects, would be considered a plus 
  • Ability to work independently and be a team player
  • Strong critical thinking and organizational skills
  • Ability to adapt to change quickly and effectively
  • Ability to clearly and concisely articulate qualitative and quantitative information in written form
  • Advanced experience with Excel and PowerPoint
  • Willingness to travel (as needed)
  • Knowledge of federal policies related to financing military housing privatization is a plus 

EDUCATION : Bachelor’s Degree in finance, real estate, or related field


COMPENSATION : Includes paid holidays, vacation, sick leave, 401(k) matching, life insurance, health, vision, and dental benefits.


This position is not available for Corp-to-Corp or 3rd-party sourcing .


We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Employment Type: Full Time
Years Experience: 1 - 3 years
Bonus/Commission: No