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Real Estate Data Science Jobs in Texas (NOW HIRING)

EoS Fitness

Real Estate Specialist

Dallas, TX · Hybrid

... and data, and the ability to support multiple priorities with professionalism and urgency ... Real Estate/Development Location : Dallas, TX or Las Vegas, NV; hybrid role with travel as needed ...

Solventum

Americas Real Estate Sr Manager

San Antonio, TX · On-site

$187K - $257K/yr

Americas Real Estate Operations (Solventum) 3M Health Care is now Solventum At Solventum, we enable ... data science that change patients' lives for the better while enabling healthcare professionals to ...

Jobot

Real Estate Attorney (Data Centers)

Houston, TX · On-site

$235K - $320K/yr

You can access our privacy policy here: jobot.com/privacy-policy #legal #drafting #commercial-real-estate #real-estate #transaction #commercial-leasing #data-center #datacenter #texas-bar #slas ...

EōS Fitness

Real Estate Specialist

Dallas, TX · On-site

... and data, and the ability to support multiple priorities with professionalism and urgency ... Real Estate/Development Location : Dallas, TX or Las Vegas, NV; hybrid role with travel as needed ...

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All JobsReal Estate Data Science JobsReal Estate Data Science Jobs in Texas

Real Estate Data Science information

See Texas salary details

$34.9K

$114.3K

$183.1K

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

As of Sep 4, 2026, the average yearly pay for real estate data science in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 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 Texas?

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

What are popular job titles related to Real Estate Data Science jobs in Texas?

For Real Estate Data Science jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Real Estate Data Science jobs in Texas look for?

The top searched job categories for Real Estate Data Science jobs in Texas are:

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

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

Real Estate Data Science jobs near you
Infographic showing various Real Estate Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Real Estate Agents - Get Paid to Show Rentals

Doorstead

Corpus Christi, TX • On-site

$40 - $50/hr

Full-time

Re-posted 12 days ago

Job description

FIELD ASSOCIATE - COLUMBIA AREA

ABOUT THE ROLE

We're seeking a Field Associate to join our team in the Columbia area. This contracted hourly position is a 1099 position that focuses on conducting property showings for rental properties with occasional opportunities to conduct property evaluations.  Average pay ranges between $40-50 per showing.

Key Responsibilities:

  1. Property Showings:
    • Travel to properties and conduct showings for prospective tenants
    • Ensure property accessibility and secure property when leaving
    • Report prospect and property feedback
    • Paid commute time
  2. Property Evaluations (optional):
    • Assess property conditions at management start, move-ins, and move-outs
    • Use Doorstead tooling to document property deficiencies
    • Work independently and efficiently (average evaluation time of 1 hour)
    • Evaluate exterior areas, interior common spaces, and basic functionality of electric and plumbing systems
    • Take detailed photos and prepare basic reports through our system

IDEAL CANDIDATE

  • Real estate license is required as company policy, but will not be used for any real estate activities 
  • Background in real estate showings, property management, home evaluations, or appraisals
  • Excellent verbal and written communication skills
  • Strong attention to detail
  • Comfortable with frequent local travel
  • Proficient with mobile apps and smartphone photography
  • Professional demeanor with positive attitude

TECHNICAL REQUIREMENTS

  • Reliable transportation
  • Smartphone capable of running our mobile friendly evaluation tool and taking high-quality photos

ABOUT DOORSTEAD

Doorstead is a pioneering full-service property management startup that guarantees rental income to property owners, regardless of vacancies. We combine modern data science for efficient risk modeling with tech-powered operations to deliver consistent, high-quality customer service.

Our mission is to provide exceptional care for each property, ensuring true peace of mind for owners.

WHY JOIN US?

  • Be part of a fast-growing prop-tech startup
  • Flexible, independent work environment
  • Contribute to revolutionary property management solutions

If you're passionate about real estate, tech-savvy, and ready to excel in a dynamic role, we want to hear from you!

LOCATION

This position requires candidates to be based in or around the Columbia area.