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Real Estate Data Science Jobs in Reston, VA (NOW HIRING)

The Senior Real Estate Analyst is an essential contributor, leveraging expertise in Commercial Real ... data. Lead deal processing from applications to closings. Review due diligence materials for real ...

... data. • Lead deal processing from applications to closings. • Review due diligence materials for real estate transactions. • Review pertinent market information, including rent/sale comps ...

... where data science products are core to what we build. We develop computer vision systems that ... Real estate or mortgage experience is not required; curiosity about how people search for, buy ...

... where data science products are core to what we build. We develop computer vision systems that ... Real estate or mortgage experience is not required; curiosity about how people search for, buy ...

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Real Estate Data Science information

See Reston, VA salary details

$39K

$127.7K

$204.4K

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

As of Jun 15, 2026, the average yearly pay for real estate data science in Reston, VA is $127,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 per year, depending on experience, location, and employer.

What are some 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 in the Real Estate Data Science position, and why are they important?

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 Science job?

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.

Infographic showing various Real Estate Data Science job openings in Reston, VA as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $127,692 per year, or $61.4 per hour.
Real Estate Specialist (TL)

Other

Posted 6 days ago


Job description

DUTIES AND RESPONSIBILITIES:

1. Oversees the implementation of criteria, standards, methods, and procedures for the selection and evaluation of lease renewals, lease extensions, space reduction, evaluation, lease and disposition of postal real estate.

2. Guides and participates in the development of complex technical analyses, appraisals, values / surveys of land and properties. Determines the market value, property tax reimbursements, easements, financing on matters related to lease back, lease renewals, lease extension, and assist in dispositions, space reduction, and management.

3. Serves as a property manager, determines the market value, manages property tax reimbursement, property tax appeals, easements, financing, and presents supporting documentation and recommendations to upper management.

4. Coordinates, manages, negotiates with property owners, contractors, representatives of the financial community, industry for lease back, lease renewals, lease extensions, leases, space reduction, legal requirements, disposition of postal real estate; negotiates with property owners and develops recommendations for upper management.

5. Serves as a program manager with contractors to oversee the conduct of due diligence market research, appraisals, surveys and analyses to evaluate; prospective leases, lease renewals, lease extension, space expansions, space reduction, and develops recommendations for management.

6. Performs special assignments related to the most complex and involved real estate projects and acquisitions and management problems; develops and reviews real estate appraisal proposals and related documentation and submits proposals and recommendations to contracting officials.

7. Collects and oversees the collection and analysis of cost data for entry in facilities reporting system and monitors taxes and assessed values of leased facilities and prepares complex appeals as necessary.

8. Reviews and analyzes lower level Real Estate Specialists recommendations to ensure compliance and adequacy of current requirements. May be responsible for supervising a small staff.

9. Actively maintains a key understanding of the dynamics in each market to ensure a strong understanding of market trends, market conditions, demographics, and Leasing’s most current activities.

10. Serves as a Contracting Officer (CO) and performs a variety of functions from pre-award to post award including reviews, plans, solicits, evaluates, awards, and administers contracts for real estate and related services.

REQUIREMENTS:

1. Knowledge of real estate contract law, commercial real estate terminology, and financing methods and techniques.

2. Ability to communicate in writing to prepare correspondence, reports, proposals, and recommendations for management and contracting officials.

3. Ability to use word processing, data analysis and presentation development software applications such as Microsoft Word, Excel and PowerPoint to prepare briefings, reports and presentations.

4. Ability to communicate orally in order to facilitate the flow of work- related information and negotiate with property owners, contractors, financial and industry representatives and confer with the law department and senior management in matters related to real estate selection, evaluation, and acquisition.

5. Ability to review and perform financial analysis using financial methods and techniques as well as Microsoft Excel functions, including, but not limited to, net present value, internal rate of return, present value, and future value.

6. Ability to prioritize workload to generate maximum revenue, costs savings/avoidance and provide feedback as required, direct necessary corrections to any due diligence reports ordered to effectively negotiate in the best interest of the organization.

7. Ability to coordinate and lead realty programs which include the implementation of lease renewals, lease extensions, space reduction and evaluation of lease and disposition of postal real estate.

8. Ability to coordinate and oversee the work of lower level specialists to achieve project objectives, including organizing and monitoring the work, facilitating the flow of work-related information, and providing technical guidance and drive necessary results.

9. Ability to coordinate project and program management, providing direction and guidance to other facilities personnel.

10. EDUCATION REQUIREMENT: Applicants must possess a baccalaureate or post- graduate degree from an accredited college or university, that included or was supplemented by at least 24 semester hours in any combination of the following fields: supply chain management, accounting, business, finance, law, contracts, purchasing, economics, industrial management, marketing, material management, logistics and inventory control, quantitative methods, or organization and management.