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Mathematical Modeler Jobs in California (NOW HIRING)

US Department of the Air Force

Mathematician

Edwards, CA · On-site

$63K/yr

... in mathematical modeling; providing contractual technical direction to programs of considerable scope and complexity, with nominal, broad oversight. GS-15: One year of specialized experience ...

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All JobsMathematical Modeler JobsMathematical Modeler Jobs in California

Mathematical Modeler information

See California salary details

$10.9K

$104.1K

How much do mathematical modeler jobs pay per year?

As of Sep 7, 2026, the average yearly pay for mathematical modeler in California is $95,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $103,600.00 per year, depending on experience, location, and employer.

What is a mathematical modeler?

Mathematical Modelers are professionals who use mathematical techniques and computational tools to create models that represent real-world systems, processes, or phenomena. These models help predict outcomes, solve problems, and inform decision-making in fields such as engineering, finance, biology, and environmental science. Mathematical Modelers typically analyze data, develop algorithms, and validate models to ensure their accuracy and usefulness. Their work is essential for research, product development, and policy planning across various industries.

What types of projects do mathematical modelers typically work on, and how do they collaborate with other teams?

Mathematical modelers often work on projects that require analyzing complex data and developing simulations or predictive models for fields like finance, healthcare, engineering, or environmental science. They regularly collaborate with cross-functional teams, such as data scientists, engineers, and domain experts, to ensure models are accurate and aligned with project goals. Effective communication is key, as modelers must explain their findings and model limitations to non-technical stakeholders. This collaborative environment helps ensure that the models developed are practical, actionable, and meet the needs of the organization.

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

To thrive as a Mathematical Modeler, you need strong analytical skills, a solid background in mathematics or applied mathematics, and typically a degree in a related field such as mathematics, engineering, or physics. Proficiency with programming languages (such as Python, R, or MATLAB), statistical software, and modeling tools is essential. Critical thinking, creativity, and effective communication set standout professionals apart in this field. These skills and qualities are crucial for developing accurate models, solving complex real-world problems, and clearly conveying findings to diverse stakeholders.

What is the difference between Mathematical Modeler vs Data Analyst?

AspectMathematical ModelerData Analyst
Required CredentialsDegree in Mathematics, Statistics, or related fieldDegree in Statistics, Data Science, or related field
Work EnvironmentResearch labs, finance, engineering, or tech companiesBusiness, marketing, finance, or healthcare sectors
Employer & Industry UsageUsed for developing complex models to predict or optimize systemsUsed for interpreting data to inform business decisions

While both roles involve working with data and quantitative methods, Mathematical Modelers focus on creating complex mathematical models to simulate and predict systems, often requiring advanced mathematical skills. Data Analysts primarily interpret existing data sets to generate insights and support decision-making. The roles overlap in skills but differ in scope and application.

What are popular job titles related to Mathematical Modeler jobs in California?

For Mathematical Modeler jobs in California, the most frequently searched job titles are:

What job categories do people searching Mathematical Modeler jobs in California look for?

The top searched job categories for Mathematical Modeler jobs in California are:

Mathematical Modeler jobs near you
Infographic showing various Mathematical Modeler job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $95,894 per year, or $46.1 per hour.

Modeling and Simulation Engineer

Maven Robotics

San Francisco, CA • On-site

Full-time

Re-posted 3 days ago

Job description

Role Description

We are looking to recruit an exceptional Modeling & Simulation Engineer to work on our robot models, environment models, and simulation pipeline.

In this role you will:

  • Define simulation requirements
  • Develop performant, cutting-edge mathematical models of robots, manipulators and the scenes in which they operate
  • Strike the perfect balance between fidelity and computational complexity
  • Integrate simulation-based assessment into CI/CD pipelines in a way that scales
  • Make simulation an indispensable part of our entire design, development and deployment process

You will be working closely with the Simulation, Motion Planning & Controls, Field Operations and Intelligence teams.

Qualifications

Must-have:

  • MS or PhD in engineering, mathematics, computer science or a related discipline
  • Experience in mathematical modeling of complex dynamic systems
  • Ability to take ownership of a large, strategically important development project and drive its success
  • Willingness to step in and support other teams when we have tight deadlines and problems to solve

Nice-to-have:

  • Familiarity with environments for robotic simulation including Isaac Sim
  • Experience in some combination of:
    • applied optimization
    • modeling of mechanical contact
    • creation of detailed 3D world models
    • GPU acceleration of physics simulations
    • deployment of numerically-intensive simulations to cloud compute platforms
    • integration of simulation tests into CI/CD pipelines
    • creation of simulation test cases from real-world data
    • simulation for HiL testing

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