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Real Estate Data Science Jobs in Virginia (NOW HIRING)

Ability to analyze financial data, investment metrics, and market trends * Proficiency in Microsoft Office and commercial real estate platforms (e.g., CoStar, LoopNet) * Bachelor's degree in Business ...

Ability to analyze financial data, investment metrics, and market trends * Proficiency in Microsoft Office and commercial real estate platforms (e.g., CoStar, LoopNet) * Bachelor's degree in Business ...

Real Estate Management Expert

Arlington, VA ยท On-site

$360K - $374K/yr

  • Retirement

  • PTO

... data and translate findings into actionable recommendations. โ€ข Strong understanding of real estate valuation methods, market analysis techniques, and long-term capital planning. โ€ข Excellent ...

Real Estate Management Expert

Arlington, VA

$360K - $374K/yr

  • Retirement

  • PTO

... data and translate findings into actionable recommendations. โ€ข Strong understanding of real estate valuation methods, market analysis techniques, and long-term capital planning. โ€ข Excellent ...

... real estate valuation. The Analyst works in close collaboration under a licensed senior appraiser ... data, performing market surveys, and confirming property transaction details. All job training and ...

... real estate valuation. The Analyst works in close collaboration under a licensed senior appraiser ... data, performing market surveys, and confirming property transaction details. All job training and ...

Real Estate Assessment Director

Fairfax, VA ยท On-site

$107K - $189K/yr

Promotes the use of GIS, data analytics, and business intelligence tools and ensures data integrity ... Attends meetings of the Board of Real Estate Equalization, the City Council, and others as required ...

Real Estate Agent

Richmond, VA ยท On-site

$80K - $150K/yr

We seek driven, licensed real estate professionals in the Richmond, VA region who currently close 8 ... We use data and coaching to keep our goals in sight and our feet on the ground. Most importantly ...

Real Estate Financial Analyst

Arlington, VA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Showing results 21-40

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.

Commercial Real Estate Agent

ABC Imaging

Annandale, VA โ€ข On-site

Full-time

Re-posted 3 days ago


Job description

Commercial Real Estate Agent (Sales, Leasing & Investment Properties)

Position Summary
We are seeking a driven and knowledgeable Commercial Real Estate Agent to join our team. This role focuses on representing clients in the purchase, sale, and leasing of commercial properties, including office, retail, industrial, and land assets.

The ideal candidate is a results-driven professional with strong negotiation skills, market expertise, and client relationship management experience in the commercial real estate industry.

Key Responsibilities

  • Represent buyers, sellers, landlords, and tenants in commercial real estate transactions
  • Identify and develop new business through prospecting, networking, and lead generation
  • Conduct market research and financial analysis to advise clients on pricing, leasing, and investment opportunities
  • Create and present property listings, offering memorandums, and marketing materials
  • Negotiate lease agreements, purchase contracts, and transaction terms
  • Coordinate property tours, site visits, and client meetings
  • Maintain current knowledge of market trends, property values, and zoning regulations
  • Collaborate with attorneys, lenders, inspectors, and other stakeholders to ensure successful closings
  • Build and maintain long-term client relationships and portfolios

Qualifications

  • Active Real Estate License (Commercial real estate experience preferred)
  • Proven experience in commercial real estate, real estate sales, leasing, or brokerage services
  • Strong negotiation, communication, and interpersonal skills
  • Self-motivated with a results-driven, commission-oriented mindset
  • Ability to analyze financial data, investment metrics, and market trends
  • Proficiency in Microsoft Office and commercial real estate platforms (e.g., CoStar, LoopNet)
  • Bachelor's degree in Business, Real Estate, Finance, or related field (preferred)