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Computational Economics Jobs (NOW HIRING)

Taboola

Senior Data Scientist

Los Angeles, CA · Hybrid

Bachelor's or advanced degree in a relevant field, ideally Computer Science, Electrical Engineering, Physics, Computational Economics, or similar * 5+ years of hands-on experience in Python and Java

Taboola

D, ideally in Computer Science, Electrical Engineering, Physics, Computational Economics, or similar * 5+ years of hands-on experience in Python and Java * Proficiency with ML frameworks (e.g ...

Taboola

Senior Data Scientist

Los Angeles, CA · On-site

D, ideally in Computer Science, Electrical Engineering, Physics, Computational Economics, or similar * 5+ years of hands-on experience in Python and Java * Proficiency with ML frameworks (e.g ...

Department of Labor

Economist

Washington, DC · On-site

$143K/yr

OR 2. Combination of education and experience: courses equivalent to a major in economics, as shown ... computational methods (e.g., R or Python) to analyze economic data from a variety of sources. 3. ...

The Aerospace Corporation

Economist

Chantilly, VA · On-site

$117K - $175K/yr

Master's in applied economics or closely related field, with a strong background in econometrics ... computational methods. * Proficiency in statistical software, such as R, Python, or MATLAB.

The Aerospace Corporation

Economist

Chantilly, VA · On-site

Master's in applied economics or closely related field, with a strong background in econometrics ... computational methods. * Proficiency in statistical software, such as R, Python, or MATLAB.

The Aerospace Corporation

Economist

Chantilly, VA · On-site

$117K - $175K/yr

Master's in applied economics or closely related field, with a strong background in econometrics ... computational methods. * Proficiency in statistical software, such as R, Python, or MATLAB.

The Aerospace Corporation

Economist

Crystal City, TX · On-site

$117K - $175K/yr

Master's in applied economics or closely related field, with a strong background in econometrics ... computational methods. * Proficiency in statistical software, such as R, Python, or MATLAB.

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Computational Economics information

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How much do computational economics jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for computational economics in the United States is $65.38, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $71.15 per hour, depending on experience, location, and employer.

What is computational economics?

A Computational Economics job involves using mathematical models, simulations, and data analysis techniques to study economic systems and solve complex economic problems. Professionals in this field apply computational methods, including machine learning, optimization, and agent-based modeling, to analyze markets, forecast trends, and evaluate policies. They often work in academia, finance, government, or technology sectors, leveraging programming and statistical tools like Python, R, and MATLAB.

What are the key skills and qualifications needed to thrive in computational economics?

To thrive in Computational Economics, you need a strong background in economics, mathematics, and computer science, often supported by a degree in economics, statistics, or a related quantitative field. Familiarity with programming languages such as Python, R, or MATLAB, and experience with econometric and data analysis software are typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex findings clearly make candidates stand out. These skills are crucial for building and interpreting economic models, analyzing large datasets, and delivering actionable insights in a collaborative research or business environment.

What are some of the main challenges faced by computational economists in their daily work?

Computational Economists often encounter challenges related to handling large and complex datasets, ensuring data quality, and constructing accurate models that capture real-world economic phenomena. Balancing theoretical economic principles with practical computational techniques can also be demanding. Collaborating effectively with multidisciplinary teams, such as data scientists, policy analysts, or business professionals, is vital to translate technical results into actionable recommendations. Adapting to rapidly evolving software tools and staying current with industry best practices are also important aspects of the role.

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What cities are hiring for Computational Economics jobs?

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What states have the most Computational Economics jobs?

States with the most job openings for Computational Economics jobs include:

What are popular job titles for Computational Economics?

Popular job titles for Computational Economics:

Computational Economics jobs near you
Infographic showing various Computational Economics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 90% Full Time, 8% Part Time, and 1% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $135,999 per year, or $65.4 per hour.

Data Scientist

Madison, WI • On-site

State of Wisconsin Investment Board
Finance and Insurance • 201 - 500 employees
Learn more about State of Wisconsin Investment Boardexternal

Full-time

Re-posted 12 days ago

Job description

Sophisticated Work. In a Great City. Making a Difference.
The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB's investment professionals are Chartered Financial Analyst (CFA) charterholders.
The City of Madison, the state capitol and home of Wisconsin's flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits.
Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.
Job Description:
About the Team
Data Services & Engineering Teams at SWIB supports, implements & develops industry-leading systems and platforms to support SWIB's diverse and complex set of investment portfolios and strategies. The team at SWIB strives to be a trusted advisor and partner to the business that is valued as a critical contributor to SWIB's continued growth and success. We effectively leverage technology to derive the maximum value from it and achieve SWIB's business goals. We keep technology aligned with SWIB's future direction and operate SWIB's technology according to industry standards.
Position Overview
  • Enable data-driven decision-making through innovative analytical solutions and models.
  • Convey complex data concepts to technical and non-technical stakeholders.
  • Utilize programming languages such as Python and SQL for data manipulation, analysis, and model development.
  • Apply artificial intelligence and machine learning techniques to enhance data analysis, predictive modeling, and decision-making.
  • Act as a liaison between investment personnel and the supporting infrastructure regarding business process change management (IT, Operations, Legal, HR, Strategic Planning, etc.)
  • Implements data quality frameworks and conducting data validation ensuring accuracy of analysis.
  • Develop and deploy models, utilizing techniques such as regression, classification, and clustering.
  • Create interactive visualizations (e.g. Power BI, Streamlit) to effectively communicate data findings.
  • Deploy data solutions in cloud environments (e.g. Azure, AWS).
  • Utilize data warehousing technologies and platforms (e.g. Snowflake) to support analytics initiatives.

The ideal candidate:
  • Bachelor's degree or advanced degree in finance, business, engineering, computer science, computational economics, math, data science or a related program.
  • 1+ years of experience with data science, data analytics, investment analysis, or similar.
  • Proactively drives data-driven decision-making through innovative analytical solutions and models.
  • Exceptional verbal and written communication skills, adept at conveying complex data concepts to technical and non-technical stakeholders.
  • Proficient in programming languages such as Python, SQL, or R for data manipulation, analysis, and model development.
  • Experience applying artificial intelligence and machine learning techniques to enhance data analysis, predictive modeling, and decision-making.
  • Experience implementing data quality frameworks and conducting data validation ensuring accuracy of analysis.
  • Skilled in developing and deploying machine learning models, utilizing techniques such as regression, classification, and clustering.
  • Knowledge of cloud platforms (e.g. Azure, AWS) for data storage and processing, with experience in deploying data solutions in cloud environments.
  • Experience with data warehousing technologies and platforms (e.g. Snowflake) to support analytics initiatives.
  • Experience deploying reports utilizing automated processes Continuous Integration and Continuous Deployment techniques (CICD).
  • Experience implementing testing tools and data quality metrics/processes to ensure overall data quality of reports that are supported and developed.
  • Superb work ethic, attention to detail, team orientation, collaborative disposition, and commitment to excellence.
  • Interest or experience in investment management, quantitative finance and technology. Progress toward or completion of the CFA designation is preferred
  • Ability to follow rigor in creating/updating documentation, maintain process (i.e. JIRA tickets) and following technology and business best practices.

SWIB Offers:
  • Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
  • Comprehensive benefits package
  • Educational and training opportunities
  • Tuition reimbursement
  • Challenging work in a professional environment
  • Hybrid work environment

The position requires U.S. work authorization.
Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office or the job position. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.
All SWIB employees are subject to SWIB's Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB's talent acquisition team and any questions can be answered by SWIB's compliance team.

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