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Mathematical Modeling Jobs in Utah (NOW HIRING)

micro1 AI

Physics Modeling Expert - Remote

Provo, UT · Remote

$80 - $140/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Varsity Tutors

Math 1 Tutor

Logan, UT · Remote

$18 - $40/hr

Guides students through modeling with linear and exponential functions, interpreting scatter plots and residuals, and performing rigid transformations on the coordinate plane. Emphasizes mathematical ...

Varsity Tutors

Math 1 Tutor

Provo, UT · Remote

$18 - $40/hr

Guides students through modeling with linear and exponential functions, interpreting scatter plots and residuals, and performing rigid transformations on the coordinate plane. Emphasizes mathematical ...

Varsity Tutors

Math 1 Tutor

Cedar City, UT · Remote

$18 - $40/hr

Guides students through modeling with linear and exponential functions, interpreting scatter plots and residuals, and performing rigid transformations on the coordinate plane. Emphasizes mathematical ...

Varsity Tutors

Math 1 Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

Guides students through modeling with linear and exponential functions, interpreting scatter plots and residuals, and performing rigid transformations on the coordinate plane. Emphasizes mathematical ...

Varsity Tutors

Math 2 Tutor

Cedar City, UT · Remote

$18 - $40/hr

Adapts instruction using dynamic geometry software, visual models for probability, and scaffolded practice to support students building on Integrated Math 1 foundations. * Effective Teaching Methods:

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All JobsMathematical Modeling JobsMathematical Modeling Jobs in Utah

Mathematical Modeling information

See Utah salary details

$25K

$51.6K

$55.1K

How much do mathematical modeling jobs pay per year?

As of Aug 19, 2026, the average yearly pay for mathematical modeling in Utah is $51,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,700.00 and $54,200.00 per year, depending on experience, location, and employer.

What is mathematical modeling?

Mathematical modeling is the process of using mathematical concepts, structures, and equations to represent real-world systems, phenomena, or problems. This can involve creating formulas or simulations to predict outcomes, analyze situations, or solve complex issues in fields like science, engineering, economics, and more. By abstracting key components of a problem into mathematical terms, models help researchers and professionals test ideas, optimize solutions, and make informed decisions. Mathematical modeling often requires both theoretical knowledge and practical application to ensure the model accurately reflects reality.

How to get a job in mathematical modeling?

The qualifications that you need to start working in mathematical modeling include a degree and experience using computer software and programming languages. You can start in this field by earning a bachelor’s degree in math, statistics, or computer science. Some employers accept applicants who have previous experience and relevant computation skills. If your duties involve computer programming, you need to know languages like Python or C++. Research positions often require a master’s degree or Ph.D. If your responsibilities include data analysis, you can pursue a graduate degree in data science, machine learning, or a similar subject.

What are the key skills and qualifications needed to thrive as a mathematical modeler, and why are they important?

To excel as a Mathematical Modeler, you need a strong background in mathematics, statistics, and computational science, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience with modeling software and data analysis tools are crucial. Analytical thinking, problem-solving, and effective communication skills help translate complex findings for diverse stakeholders. These abilities ensure accurate model development, insightful analysis, and impactful decision-making across scientific and business applications.

What are some common challenges faced by professionals in mathematical modeling roles, and how can they be addressed?

Professionals in mathematical modeling often encounter challenges such as dealing with incomplete or noisy data, ensuring models are both accurate and interpretable, and effectively communicating complex results to non-technical stakeholders. To address these issues, it's important to regularly validate models with real-world data, collaborate closely with domain experts, and develop strong data visualization and presentation skills. Building a robust understanding of statistical methods and staying updated on new modeling techniques can also help in overcoming these challenges and delivering impactful results.

What is the difference between Mathematical Modeling vs Data Analyst?

AspectMathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldsDegree in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, engineering firms, academiaBusiness, finance, marketing departments
Industry UsageDeveloping models to simulate systems or processesAnalyzing data to inform business decisions

Mathematical Modeling focuses on creating mathematical representations of real-world systems, often for simulation or prediction. Data Analysts interpret and analyze data sets to support decision-making. While both roles require strong quantitative skills and familiarity with statistical tools, Mathematical Modelers emphasize developing models, whereas Data Analysts focus on data interpretation and reporting.

What do you do in mathematical modeling?

In mathematical modeling, a mathematical modeler develops mathematical representations of real-world systems to analyze and predict their behavior. This involves formulating equations, using computational tools, and validating models with data to support decision-making or problem-solving. Strong analytical skills and knowledge of programming languages like Python or MATLAB are often essential.
More about Mathematical Modeling jobs

What are the most commonly searched types of Mathematical Modeling jobs in Utah?

The most popular types of Mathematical Modeling jobs in Utah are:

What are popular job titles related to Mathematical Modeling jobs in Utah?

For Mathematical Modeling jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Mathematical Modeling jobs in Utah look for?

The top searched job categories for Mathematical Modeling jobs in Utah are:

What cities in Utah are hiring for Mathematical Modeling jobs?

Cities in Utah with the most Mathematical Modeling job openings:

Mathematical Modeling jobs near you
Infographic showing various Mathematical Modeling job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $51,639 per year, or $24.8 per hour.

Physics Modeling Expert - Remote

micro1 AI

Provo, UT • Remote

$80 - $140/hr

Part-time

Posted 16 days ago

Job description

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).

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