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Computer Science Economics Jobs in Texas (NOW HIRING)

IntelliPro Group Inc.

Credit Risk Analyst

Plano, TX · On-site

Bachelor's degree or higher in Analytics, Statistics, Finance, Accounting, Math, Computer Science, Economics, Engineering or similar analytical/STEM field * 1-2 years' experience in analytical roles

IntelliPro Group Inc.

Credit Risk Analyst

Plano, TX · On-site

$37 - $51/hr

Bachelor's degree or higher in Analytics, Statistics, Finance, Accounting, Math, Computer Science, Economics, Engineering or similar analytical/STEM field * 1-2 years' experience in analytical roles

Triumph

Director of Data Science

Dallas, TX · On-site

Required : • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. • 5-7 years of professional ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

Required : • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required. • 5-7 years of professional ...

Expand Energy

Quantitative Risk Analyst

Spring, TX · On-site

Master's degree or PhD preferred in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, Applied Economics or related. Experience

evolv Consulting

Consultant (Data Engineer Skillset)

Dallas, TX · On-site

$113K - $136K/yr

Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Economics, Finance, Mathematics, Statistics, Engineering). * Proven track record of independently delivering big ...

evolv Consulting

Consultant (Data Engineer Skillset)

Dallas, TX · On-site

$113K - $136K/yr

Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Economics, Finance, Mathematics, Statistics, Engineering). * Proven track record of independently delivering big ...

evolv Consulting

Consultant (BI Developer Skillset)

Houston, TX · On-site

$45.75 - $62.75/hr

Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Economics, Finance, Mathematics, Statistics, Engineering). * Proven track record of independently delivering big ...

Calpine

Senior Transmission Analyst

Houston, TX · On-site

$84K - $111K/yr

Bachelor's Degree in Electrical Engineering with power systems as focus, mathematics, applied statistics, computer science or data science, economics or commensurate operational experience. Advanced ...

Expand Energy

Quantitative Risk Analyst

Spring, TX · On-site

Master's degree or PhD preferred in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, Applied Economics or related. Experience

Calpine

Senior Transmission Analyst

Houston, TX · On-site

$84K - $111K/yr

Bachelor's Degree in Electrical Engineering with power systems as focus, mathematics, applied statistics, computer science or data science, economics or commensurate operational experience. Advanced ...

Apple

Senior Data Scientist, Apple Ads

Austin, TX · On-site

Minimum Qualifications Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline, or equivalent practical experience ...

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Showing results 41-60

All JobsComputer Science Economics JobsComputer Science Economics Jobs in Texas

Computer Science Economics information

See Texas salary details

$10.2K

$91.3K

$149.5K

How much do computer science economics jobs pay per year?

As of Sep 9, 2026, the average yearly pay for computer science economics in Texas is $91,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $20,500.00 and $149,100.00 per year, depending on experience, location, and employer.

What is a computer science economics?

A Computer Science Economics job combines computing, data analysis, and economic principles to solve complex business and financial problems. Professionals in this field work with algorithms, machine learning, and economic models to analyze trends, optimize decision-making, and improve efficiency. They may work in industries like finance, tech, or policy analysis, using data-driven methods to drive insights and innovation.

What does a computer science economics do?

Professionals in Computer Science Economics roles blend data analysis, economic modeling, and software development to provide insights that guide business strategies and policy decisions. On a typical day, you might analyze large datasets, build predictive economic models, collaborate with data engineers or economists, and present findings to stakeholders. Many roles are highly collaborative, often involving teamwork with both technical and non-technical colleagues to solve complex, real-world business or economic problems. The work environment can range from consulting firms to financial institutions or tech companies, offering a dynamic and intellectually stimulating setting with opportunities for continued learning and career growth.

What skills and qualifications are needed for a computer science economics?

To excel in a Computer Science Economics role, candidates typically need a strong background in both computer science fundamentals (such as programming, algorithms, and data structures) and economic theory, often evidenced by degrees in these or related fields. Familiarity with analytical tools like Python, R, SQL, and statistical modeling software, as well as experience with data visualization platforms, are commonly required. Strong communication, critical thinking, and problem-solving abilities enable effective collaboration across multidisciplinary teams. These skills and qualifications are crucial for leveraging computational techniques to analyze complex economic data and deliver actionable insights in technology-driven industries.

Is computer science and economics a good combination?

Computer Science Economics combines technical programming skills with economic analysis, making it valuable for roles in data analysis, financial modeling, and technology-driven economic research. Professionals in this field often use programming languages like Python or R and may pursue certifications in data science or economics to enhance their expertise.

What are the top 3 highest paying jobs in computer science?

In computer science, the highest paying roles typically include software engineering managers, data scientists, and solutions architects. These positions often require advanced technical skills, experience, and sometimes certifications, and they tend to offer salaries significantly above the industry average.

What can you do with a computer science and economics degree?

A computer science and economics degree prepares individuals for roles such as data analyst, financial analyst, software developer, or economic consultant. These roles often require skills in programming, data analysis, and understanding economic principles, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and consulting.

What are popular job titles related to Computer Science Economics jobs in Texas?

For Computer Science Economics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Computer Science Economics jobs in Texas look for?

The top searched job categories for Computer Science Economics jobs in Texas are:

What cities in Texas are hiring for Computer Science Economics jobs?

Cities in Texas with the most Computer Science Economics job openings:

Computer Science Economics jobs near you
Infographic showing various Computer Science Economics job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $91,302 per year, or $43.9 per hour.

Senior Data Scientist, CRM & Personalization

Austin, TX • On-site

Realtor.com Careers
See more jobs at Realtor.com Careersexternal

Full-time

Medical, Dental, Vision, Retirement

Re-posted 23 days ago

Job description

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.
Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.
The Senior Data Scientist, CRM Marketing, will be a key driver of data-informed customer relationship management strategies focusing on the Seller and Owner verticals. This role will leverage advanced analytical techniques to understand customer behavior, optimize marketing campaigns, personalize customer experiences, enhance lead generation and sales effectiveness, and ultimately contribute to increased customer engagement and revenue generation across both business lines. The ideal candidate will possess a strong analytical background, excellent communication skills, and a passion for leveraging data to solve complex business challenges in a dynamic real estate environment.
Top Reasons to Apply:
  • Massive, Visible Impact: We are sitting on a wealth of low-hanging fruit, meaning your work will directly drive consumer leads, retention, and revenue.
  • True Strategy & Autonomy: You won't just be crunching numbers; you will have strong autonomy over data strategy and act as a crucial partner to product stakeholders.
  • Own the Funnel Strategy: You will fill a critical gap by owning the analytical strategy for the Seller/Owner verticals, focusing on CRM channels like email and push notifications.
What You'll Do:
  • Develop and implement data-driven CRM marketing strategies including segmentation, targeting, and personalization initiatives.
  • Map and analyze the customer journey for sellers/owners identifying key touchpoints and opportunities for optimization through CRM interventions.
  • Build sophisticated segmentation models to identify and target potential audiences for specific seller/owner projects based on various data sources.
  • Design and execute personalized communication strategies and campaigns for consumers in both the Seller and Owner sectors.
  • Collaborate on the integration of CRM data with other relevant platforms to create a holistic view of the customer.
  • Establish KPIs and develop analytical frameworks to measure the effectiveness of CRM marketing campaigns across both business units, providing actionable insights for optimization.
  • Conduct in-depth analysis of consumer data to identify trends, patterns, and opportunities for improved engagement, retention, and cross-selling (where applicable).
  • Communicate complex analytical findings and recommendations clearly and effectively to both technical and non-technical stakeholders.
  • Stay abreast of the latest trends and technologies in data science, CRM marketing, and the real estate industry.
  • Collaborate with Data Engineering and IT teams to ensure data quality, accessibility, and the development of necessary data infrastructure.
  • Partner with Marketing Managers to understand their specific needs and develop tailored analytical solutions.
What You'll Bring:
  • Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related area.
  • 5 years of related experience, with 2+ years as a Data Scientist, preferably with a focus on marketing analytics or CRM.
  • Proven experience in developing and implementing data-driven marketing strategies, including segmentation, targeting, and personalization.
  • Strong proficiency in statistical modeling, machine learning techniques (e.g., regression, classification, clustering), and data mining.
  • Experience with CRM platforms (e.g., Cordial, Braze) and marketing automation tools.
  • Excellent SQL skills and experience working with large datasets.
  • Proficiency in programming languages commonly used for data analysis (e.g., Python, R).
  • Strong data visualization skills and experience with tools such as Tableau or Power BI.
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Strong problem-solving and analytical skills with a demonstrated ability to translate data into actionable business insights.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Experience in the real estate industry (Rental or New Construction) is a plus.
  • Familiarity with the new homebuyer journey and related data sources is a significant advantage.
How We Work:
We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.
How We Reward You:
Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:
  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location

Do the best work of your life at Realtor.com®
Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com®, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.
Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.

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