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Real Estate Data Science Jobs in Texas (NOW HIRING)

KidStrong

Real Estate Manager

Frisco, TX · On-site

KidStrong is a science based program for kids ages 1-11 that uses certified coaches to help kids ... Supports the Franchise Development team by validating market and territory data and exhibits for ...

KidStrong

Real Estate Manager

Frisco, TX · On-site

KidStrong is a science based program for kids ages 1-11 that uses certified coaches to help kids ... Supports the Franchise Development team by validating market and territory data and exhibits for ...

Cushman & Wakefield

Junior Data Scientist

Austin, TX · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Austin, TX · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cruitin

Partner (Real Estate)

Dallas, TX · On-site

$500K/yr

Open (aligned with candidate's expertise and book of business) - M&A, Real Estate, Data Center, Energy, Infrastructure, and more About the Role: A high-performing boutique law firm is seeking ...

Welltower

Senior Real Estate Specialist

Dallas, TX · On-site

WELLTOWER - REIMAGINE REAL ESTATE WITH US At Welltower, we're transforming how the world thinks ... Through our disciplined approach to capital allocation powered by our data science platform and ...

3M

Real Estate Manager

Austin, TX · Hybrid

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

3M

Real Estate Manager

Austin, TX · Hybrid

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

Equinix, Inc.

Real Estate Manager

Dallas, TX · On-site

Conducts research on real estate and data center market in various metros * Compares and analyzes market transactions for valuation purposes * Reviews near and long-term capacity plans and maintains ...

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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 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.

Real Estate Analyst

Prime Communications

Sugar Land, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Prime Communications rating

5.8

Company rating: 5.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

22nd of 30 rated technology retailers

Job description

Education & Experience
• Bachelor's degree in Real Estate, Finance, Economics, Business, or related field
• 1+ years of relevant experience
• Experience supporting multi-unit retail portfolios preferred
• Experience with lease management systems preferred
Technical Skills
• Advanced Excel skills
• Experience with Power BI, GPT, or similar
• Familiarity with Lease Administration systems & software
• Experience with data governance or system administration preferred
• Experience with AI or automation tools preferred
Core Competencies
• Strong analytical and problem-solving skills
• Ability to synthesize data into insights
• Strong systems thinking
• Excellent communication skills
• Highly organized and detail-oriented
• Ability to manage multiple priorities
• Proactive and continuous improvement mindset
Position Summary
The Real Estate Analyst is responsible for owning data governance, systems administration, and managing real estate transactional data and activity across a national retail portfolio of approximately 2,000 locations. This role serves as the central hub for real estate data integrity, pipeline visibility, and cross-functional system alignment, enabling efficient execution across Legal, Lease Administration, Construction, Facilities, and Finance. The Analyst will drive automation, data management, and process optimization initiatives while ensuring accuracy, consistency, and reliability across all real estate platforms and stakeholders.
Data Governance & System Ownership
• Own data integrity across all real estate systems, including lease management platforms and internal databases
• Serve as system administrator for real estate platforms, portals, and related tools
• Establish, maintain, and enforce data governance standards, processes, and SOPs
• Identify, investigate, and resolve data discrepancies across all Real Estate and Lease Administration systems
• Perform and oversee monthly system reconciliations across applicable platforms
• Provide system access, support, and troubleshooting for internal and external stakeholders
Business Intelligence
• Develop, maintain, and enhance portfolio-level dashboards
• Translate complex data into actionable insights
• Monitor and track key performance indicators across the real estate lifecycle

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