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Real Estate Data Science Jobs in Washington, DC (NOW HIRING)

Real Estate Assistant

Alexandria, VA · On-site

$55K - $100K/yr

... data integrity and accessibility for the team. Qualifications: • Experience in real estate sales or a related field, demonstrating a strong understanding of the industry. • Ability to convert ...

Description Build Your Career as a Real Estate Assistant with EmpowerHome Team Are you organized ... data integrity and accessibility. • Strong communication skills, with the ability to engage and ...

Build Your Career as a Real Estate Assistant with EmpowerHome Team Are you organized, detail ... Proficiency in using CRM systems to manage and track leads, ensuring data integrity and ...

Real Estate Manager

Washington, DC · On-site

$120K - $160K/yr

Our Real Estate Managers work regionally to identify, negotiate and execute real estate and ... data. Location: Washington, D.C

Practice Assistant (Real Estate) For those contemplating law school, this is an opportunity to work ... Ability to compile and analyze data and furnish information in report format, written ...

Demonstrated ability to analyze complex financial, operational, and market data and translate findings into actionable recommendations. Strong understanding of real estate valuation methods, market ...

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 ...

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

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

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Showing results 1-20

Real Estate Data Science information

See Washington, DC salary details

$42.5K

$139K

$222.6K

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

As of Aug 29, 2026, the average yearly pay for real estate data science in Washington, DC is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

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 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.

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 assess investment risks. It involves techniques like machine learning, statistical modeling, and data visualization to support decision-making and optimize property transactions.

What are the most commonly searched types of Real Estate Data Science jobs in Washington, DC?

The most popular types of Real Estate Data Science jobs in Washington, DC are:

What job categories do people searching Real Estate Data Science jobs in Washington, DC look for?

The top searched job categories for Real Estate Data Science jobs in Washington, DC are:

Infographic showing various Real Estate Data Science job openings in Washington, DC as of August 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Real Estate Space Management Analyst - OnSite

Washington, DC • On-site

BETA Systems International
IT Services • 1 - 10 employees

Full-time

Posted 9 days ago


Job description

This position is contingent upon contract award. Hiring for this position will proceed only if BGMG receives the award.
Position Summary
The Occupancy and Space Management Analyst maintains the official space inventory, stacking plans, and occupancy records for a large federal office building, and supports the analyses that inform space and move planning.
Key Responsibilities
  • Maintain the working inventory of space by floor, suite, tenant, use, and occupancy status
  • Maintain stacking plans and occupancy diagrams and reconcile them against floor plans and financial records
  • Track usable, rentable, assigned, shared, vacant, and unavailable space in accordance with applicable standards
  • Support preliminary blocking, test-fit, and space scenario analyses
  • Maintain records of planned moves, restacks, expansions, contractions, and new occupancies
  • Prepare recurring occupancy reports and support required real property inventory reporting
Required Qualifications
  • Bachelor's degree, from an accredited institution
  • 5 years of space, occupancy, workplace, or real estate data experience
  • Experience reconciling floor plans, space assignments, occupancy records, and financial records
  • Proficiency with spreadsheet, database, visualization, and computer-aided drawing tools
  • Working knowledge of usable, rentable, assigned, and vacant space classifications under federal or industry standards
  • Ability to pass a federal security investigation for unescorted building access

Location: Washington, DC 20548 (onsite presence required)
Schedule: Core business hours, Monday through Friday, excluding federal holidays
Employment Type: Full-time, contingent upon contract award
Security: Selected candidate must pass a security investigation for unescorted building access; an existing federal clearance may be submitted for review in place of a new investigation