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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

$150 - $210/hr

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 ...

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How much do computational economics jobs pay per hour?

As of Aug 22, 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 states have the most Computational Economics jobs?

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Computational Economics jobs near you
Infographic showing various Computational Economics job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $135,999 per year, or $65.4 per hour.

Computational Physics Intern (Summer 2027)

Zipline

South San Francisco, CA • On-site

$20.25 - $26.25/hr

Temporary, Internship

Posted 3 days ago

New

Job description

About the Systems Modeling Team

The Systems Modeling Team has tremendous power to shape Zipline's products. We develop physics-based models and use them to architect our aircraft, as well as the supporting logistics system. Using simulation, we can rapidly explore a vast array of designs to optimize future products, and we can find ways to squeeze more performance out of our existing products. 

Systems Modeling brings diverse teams and fields together (e.g. electrical, thermal, mechanical, aerodynamics, battery chemistry, controls, fleet operations, economics) to gain new insights. We translate technical conversations into rigorously framed engineering problems. We value asking pertinent questions and generating coherent answers.

The Role

Leading the way in drone delivery requires pushing the limits of individual component technologies and carefully orchestrating which ones we put together to optimize the performance of the complete vehicle. How much of the benefit of a larger motor is counteracted by its aerodynamic penalty? How much range are we willing to give up for extra payload capacity? How do we optimally control battery charging - electrically and thermally - to strike a balance between turnaround time and battery longevity?

Answering these types of questions requires high-caliber computational tools. Zipline is seeking an engineering intern that can understand system-level problem statements, appreciate the tradeoffs between accuracy and computational efficiency, and architect elegant code tools. The outputs of these tools will directly drive critical architectural and operational decisions at the aircraft and fleet level.

What You'll Do

  • Develop computational tools to automate high-level design trades, optimizations, and sensitivity studies
  • Improve the performance and flexibility of simulation frameworks
  • Build physics-based models that underlie aircraft performance simulations
  • Analyze test data to validate vehicle component models
What You'll Bring
  • A drive to help people and make the world a better place
  • A basic understanding of fundamental physics:
    • Energy and power
    • Heat transfer 
    • Electrical circuits
    • Dynamics (kinematics, forces, moments, acceleration/rotation)
    • Fluids and aerodynamics
  • Passion for tackling challenging multidisciplinary problems
  • The ability to recognize tradeoffs in the design of complex computational analysis frameworks 
  • Expertise in Matlab, Python, Julia, Rust, or similar; for modeling, simulation, optimization, and/or data analysis
  • Proficiency in numerical methods 

Nice to have:

  • Basic understanding of batteries, electric motors, and/or aircraft dynamics; and typical approaches to modeling them
  • Experience interpreting experimental data
  • Experience with model-based systems design, ideally in an extracurricular setting
What Else You Should Know 

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.

Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

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