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Real Estate Data Science Jobs (NOW HIRING)

CoStar

Data Scientist

Richmond, VA · On-site

Commercial Real Estate industry professionals around the globe use CoStar to access the most ... Bachelor's degree in computer science, data analytics, statistics, machine learning, or related ...

Graceful Realty LLC

Real Estate Agent

Queens, NY · On-site

Strong client service skills, including clear communication, active listening, and timely follow-up. * Ability to conduct market research, analyze property values, and explain real estate data to ...

Visual Lease

Data Scientist

Richmond, VA · On-site

$71 - $105/hr

Commercial Real Estate industry professionals around the globe use CoStar to access the most ... Bachelor's degree in computer science, data analytics, statistics, machine learning, or related ...

CoStar Group

Data Scientist

Richmond, VA · On-site

Commercial Real Estate industry professionals around the globe use CoStar to access the most ... Bachelor's degree in computer science, data analytics, statistics, machine learning, or related ...

CoStar Group

Data Scientist

Richmond, VA

Commercial Real Estate industry professionals around the globe use CoStar to access the most ... Bachelor's degree in computer science, data analytics, statistics, machine learning, or related ...

State of Arkansas

REAL ESTATE ANALYST

Little Rock, AR · On-site

$52K - $77K/yr

Real Estate Analyst Class Code: ILP04I Pay Grade: SGS06 Salary Range: $52,137 - $77,163 Job Summary ... Analyze market data-including sales trends, rental rates, occupancy rates, and demographic ...

Apple Bank

Real Estate Analyst

New York, NY · Hybrid

$80K - $95K/yr

... data science, and analytics, coupled with a proven ability to streamline processes and deliver ... Knowledge of the New York metropolitan real estate market helpful. Visa sponsorship not available.

Apple Bank

Real Estate Analyst

New York, NY · On-site

$80K - $95K/yr

... data science, and analytics, coupled with a proven ability to streamline processes and deliver ... Knowledge of the New York metropolitan real estate market helpful. Visa sponsorship not available.

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Real Estate Data Science information

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$37.5K

$122.7K

$196.5K

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

As of Sep 7, 2026, the average yearly pay for real estate data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.
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Real Estate Data Science jobs near you
Infographic showing various Real Estate Data Science job openings in the United States 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, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Real Estate Data Entry Operator

Better Homes and Gardens Real Estate LLC

Remote

$26.81 - $29.97/hr

Other

Re-posted 16 days ago

Job description

Real Estate Data Entry Operator

In your role as a real estate data entry operator, you will play a crucial role in upkeep and updating our database. In order to maintain correct and current records, you will be responsible for accurately entering a variety of data. The ideal candidate for this role will have strong organizational skills, a sharp eye for detail, and the capacity to work independently in a remote setting. Pay: $26.81 - $29.97 per hour

Responsibilities

  • Update and add transactions, client information, and real estate data to the database.
  • Examine and amend data to make sure it is accurate and comprehensive.
  • Collaborate with your teammates to resolve any discrepancies found in the data.
  • Be mindful of privacy and abide by data security regulations.
  • Assist in creating reports and presentations using the data acquired.
  • Performing secretarial duties entails filing, monitoring office supplies, scanning, and printing as needed.

Qualifications

  • A high school certificate or its equivalent; a bachelor's degree is ideal but not necessary.
  • Solid background in data entry or a related field.
  • Strong command of the language and procedures used in real estate.
  • A strong command of computers, including the MS Office suite and data input programs.
  • Remarkable precision and attention to detail.
  • The capacity to operate autonomously with little guidance.
  • Outstanding organizing and time management skills.
  • Good communication abilities, particularly while working in a remote team.

Additional Information

REMAX Hawaii is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. All your information will be kept confidential according to EEO guidelines.

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