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Computer Science Economics Jobs (NOW HIRING)

Qualifications • Master's degree in data science, Statistics, Computer Science, Economics, or a related field. • 4+ years of industry experience in Payments, Risk, FinTech, or Marketplace ...

An advanced degree in Computer Science/Statistics/Mathematics/ Economics, or related fields, requires advanced training in data modeling and analytics. * Ph.D. degree in statistics/mathematics ...

An advanced degree in Computer Science/Statistics/Mathematics/ Economics, or related fields, requires advanced training in data modeling and analytics. * Ph.D. degree in statistics/mathematics ...

CTE Teacher - Computer Science

Cary, NC

$43K - $60K/yr

Implements appropriate classroom instructional strategies and materials that reflect each student's culture, learning styles, special needs, and socio-economic background. Uses an understanding of ...

An advanced degree in Computer Science/Statistics/Mathematics/ Economics, or related fields, requires advanced training in data modeling and analytics. * Ph.D. degree in statistics/mathematics ...

CTE Teacher - Computer Science

Apex, NC

$38K - $53K/yr

Implements appropriate classroom instructional strategies and materials that reflect each student's culture, learning styles, special needs, and socio-economic background. Uses an understanding of ...

CTE Teacher - Computer Science

Cary, NC

$43K - $60K/yr

Implements appropriate classroom instructional strategies and materials that reflect each student's culture, learning styles, special needs, and socio-economic background. * Uses an understanding of ...

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Computer Science Economics information

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$11K

$98K

$160.5K

How much do computer science economics jobs pay per year?

As of Jul 8, 2026, the average yearly pay for computer science economics in the United States is $97,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $22,000.00 and $160,000.00 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.
More about Computer Science Economics jobs
What cities are hiring for Computer Science Economics jobs? Cities with the most Computer Science Economics job openings:
What are the most commonly searched types of Computer Science Economics jobs? The most popular types of Computer Science Economics jobs are:
What states have the most Computer Science Economics jobs? States with the most job openings for Computer Science Economics jobs include:
Infographic showing various Computer Science Economics job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $97,999 per year, or $47.1 per hour.
Data Analyst

Data Analyst

1 point system

Sunnyvale, CA • On-site

Contractor

Posted 25 days ago


Job description

Qualifications
• Master’s degree in data science, Statistics, Computer Science, Economics, or a related field.
• 4+ years of industry experience in Payments, Risk, FinTech, or Marketplace Analytics.
• Proven ability to lead cross-functional initiatives and influence product and engineering roadmaps.
• Advanced proficiency in SQL, with experience working on cloud data platforms (e.g., BigQuery, Redshift, Snowflake).
• Strong experience with Python or R for data analysis, modeling, and automation.
• Proficiency in data visualization tools (e.g., Looker, Power BI, Tableau) and building self-serve analytics.
• Experience with A/B testing, experimentation frameworks, and causal inference techniques.
• Familiarity with real-time data systems, fraud detection models, and decisioning platforms is a plus.
• Excellent communication skills with the ability to translate complex data into actionable insights.