ZipRecruiter

Log In

1

Computer Science Economics Jobs in Texas (NOW HIRING)

Central Health

Senior Data Analyst

Austin, TX · On-site +1

$86K - $109K/yr

Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering or related quantitative discipline. PREFERRED EDUCATION: * Master's Degree Master ...

Judit Inc

Data Analyst

Plano, TX

Master's degree in Mathematics, Computer Science, Economics, or Statistics * 5-7 years experience mining data as a data analyst or business data analyst * Proven analytic skills, including mining ...

LPL Financial

Sr. Analyst, Data Science

Austin, TX

$85K - $143K/yr

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field required; Master's degree preferred. #LI-PA Pay Range: $85,902.00 - $143,170.00 Actual base ...

Microsoft

Principal Data Scientist

Houston, TX · On-site

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured ...

2U

Data Scientist II

Crystal City, TX · On-site +1

Bachelor's degree in a quantitative field (data science, statistics, mathematics, computer science, economics, or similar). Graduate degree preferred. * Professional Experience: 3-5 years in data ...

New

next page

Showing results 1-20

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 Jul 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 are the typical responsibilities and daily activities for professionals in a Computer Science Economics role?

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.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring continued demand for computer science expertise.

What is a Computer Science Economics job?

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 are the key skills and qualifications needed to thrive in the Computer Science Economics position, and why are they important?

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.

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. Graduates can work in finance, technology, consulting, or research, often utilizing skills in programming, data analysis, and economic modeling.

What are 5 careers in economics?

Careers in economics include roles such as economic analyst, financial analyst, policy advisor, data scientist, and research economist. These positions often require strong analytical skills, proficiency with statistical tools, and a solid understanding of economic theories and models.

Is computer science useful for economics?

Computer science is highly useful for economics, as it provides tools for data analysis, modeling, and simulation that enhance economic research and decision-making. Skills in programming, algorithms, and data management are valuable for economists working with large datasets and complex models.
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 July 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $91,302 per year, or $43.9 per hour.