ZipRecruiter

Log In

1

Real Estate Data Science Jobs in Texas (NOW HIRING)

3M

Real Estate Manager

Austin, TX · Hybrid

At 3M we apply science in collaborative ways to improve lives daily as our employees connect with ... Develop processes to ensure that data is properly collected, maintained, and reported. * Identify ...

previous pagenext page

Showing results 21-40

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 Aug 13, 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.

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 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, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Licensed Real Estate Agent

Marshall Reddick Real Estate

Dallas, TX • On-site

Contractor

Re-posted 17 days ago

Job description

No phone calls or emails from recruiters or employment agencies. Do not contact us with unsolicited services or offers. All candidates must apply directly.
 
Who We Are
Here at Marshall Reddick Real Estate we are a fast-paced, software-centered, and rapidly changing full-service residential real estate investment firm. We provide multiple services to our clients including real estate brokerage, property management, private lending, and investment funds. We have a team of 150+ members across 9 offices in CA, TX, FL, and TN. Founded in 1979, we are committed to our mission to be the bridge connecting each client to financial independence through education, mentorship, and by providing a trusted system of buying, selling, and managing real estate and mortgages nationwide.

The Opportunity 
We are excited to announce the expansion of our Dallas, TX office. We are seeking a licensed real estate agent to make an immediate impact by managing owner lease listings and working with our investors.
 
Whether you are an experienced real estate agent, new agent, or in the process of obtaining your real estate license, we have the tools, the leads, and the mentorship that can take you beyond a six-figure income! In this role, you will work with company generated and self-generated buyers and sellers on the sell/purchase of their homes and investment properties. You will be given the opportunity to work with a wide array of clients and prospects from first-time homebuyers to seasoned investors.
 
If you are a licensed real estate agent looking to grow your career/income or just getting started, we’d love to talk with you! 
 
This is a 1099 contractor position with uncapped earning potential!
 
100% Commission-Based Compensation Through:
- Lease listings
- Tenant/Homebuyer conversions
- Investment property transactions
 
What Sets Marshall Reddick Apart:
- LEADS: We provide warm, pre-approved LEADS for buyers and sellers
- We provide a wide array of income generating opportunities to include company generated investor purchases and listings, owner lease listings, tenant/homebuyer conversions, and more
- Immediate access to our CRM with 50,000+ contacts ready to hear from you
- NO DESK FEES: We do not charge desk fees, admins fees, or monthly fees
- 10+ transactions on average per agent, annually
- Proven track record of developing Top Performing Agents
- Weekly sales meetings with our broker
- Weekly hands-on coaching and mentoring
What You'll Do
  • Build relationships with and convert pre-qualified leads generated by our business development team
  • Provide sellers with a clear listing presentation that includes key selling points and the suggested asking price
  • Buyer tours, listing presentations, and open houses
  • Run comparative marketing analysis (CMAs) for sell and rental value of company-generated listings
  • Ensure the property portfolio is rented to the fullest capacity
  • Utilize marketing strategies to secure prospective residents
  • Create and update a Property Activity Log (PAL) for each vacant property
  • Confirm all leases and corresponding paperwork are completed accurately and on time
What Qualifies You
  • Texas real estate license required
What Sets You Apart
  • Excellent customer service skills with an ability to anticipate the needs of the client
  • Strong ability to collect, organize, and communicate
  • Professional verbal and written communication skills
  • Highly self-motivated and willing to put forth extra effort consistently

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.