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Computer Science Economics Jobs (NOW HIRING)

and officially incorporated

$60 - $90/hr

Graduate‑level analysts, builders, and problem solvers from programs in public policy, data science, economics, computer science, and related fields.Geographic Eligibility: United States (various ...

Los Angeles Community College District

CA · On-site

Serving more than 20,000 students from diverse socio-economic backgrounds, LAVC provides strong ... The Department of Computer Science and Information Systems at LAVC consists of two full-time ...

Kanak Elite Services Inc

Data Scientist.

Columbus, OH · On-site

Bachelor's degree (Major in statistics, computer science, economics, engineering or similar quantitative field preferred) or equivalent experience. * 5+ years of professional experience as a data ...

Fanniemae

Audit Data Science Advisor

Reston, VA · On-site

Master's degree in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related field. * Advanced proficiency in Python and core data science and machine learning techniques.

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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 Sep 7, 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 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.
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What states have the most Computer Science Economics jobs?

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Computer Science Economics jobs near you
Infographic showing various Computer Science Economics job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $97,999 per year, or $47.1 per hour.

Computer Science . Machine Learning . Others

and officially incorporated

On-site

$60 - $90/hr

Other

Medical

Posted 5 days ago

Job description

USA Computer Science Machine Learning Others

About this opportunity

The Applied Data Fellowship (ADF) at the University of Chicago Harris School of Public Policy is a high-impact program that embeds data professionals into mission-driven organizations. Fellows serve as “Analysts,” “Builders,” or “Data Shamans,” working for one year to move critical projects from initial scoping to full-scale implementation within government agencies, nonprofits, and foundations.The fellowship is designed for individuals who possess elite analytical skills and a deep commitment to social impact. Fellows are not just “crunching numbers”; they are coordinating stakeholders, building dashboards, and implementing AI/ML solutions that drive systemic change. The program provides a “Safety Net” of technical mentorship from the UChicago ecosystem, ensuring that every fellow has the support needed to overcome complex implementation hurdles.The selection process is highly competitive, with a focus on matching specific technical profiles with active partner projects. Beyond the work placement, the ADF offers a year of continuous learning through weekly upskilling workshops, fireside chats with industry leaders, and regular demos of cutting-edge data tools. This combination of hands‑on experience and structured learning makes the ADF a premier launchpad for careers at the intersection of data science and public policy.Target Audience: Graduate‑level analysts, builders, and problem solvers from programs in public policy, data science, economics, computer science, and related fields.Geographic Eligibility: United States (various locations based on partner placements).Tangible Benefits: Competitive stipend, comprehensive health insurance, one‑on‑one mentorship, weekly upskilling workshops, and access to the UChicago technical ecosystem.Application Deadline: Rolling (Applications are reviewed year-round).Program Duration: 1 year (Full‑time commitment).

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