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Mathematical Modeler Jobs in California (NOW HIRING)

VSolvit

DATA SCIENTIST I-FINANCIAL & TIME SERIES FORE

Norco, CA · On-site

$34.62 - $45.67/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Time Series & Mathematical Modeling: Support the development and evaluation of statistical and time series forecasting models, including ARIMA, Prophet, regression, and tree-based models. * Data ...

Zipline

System Modeling Engineer

South San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Demonstrated experience building mathematical models and modeling frameworks, across languages, methods, and tools * Deep programming experience in Python, MATLAB, or Rust * An understanding of ...

Bolt Graphics

R&D Engineer

Sunnyvale, CA · On-site

$150K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

About the role: We're looking for highly skilled R&D Engineers with expertise in algorithms, mathematical modeling, and scientific computing. The R&D Engineer will perform in-depth research on high ...

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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 Aug 15, 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 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 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.

Is mathematical modeling hard?

Mathematical modeling can be challenging as it requires strong analytical skills, understanding of complex concepts, and proficiency with tools like MATLAB or Python. Success in this field often depends on a solid foundation in mathematics, problem-solving abilities, and experience with data analysis. It is a demanding but rewarding profession for those with a strong quantitative background.

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 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 do mathematical modelers do?

Mathematical modelers develop and analyze mathematical representations of real-world systems to solve complex problems. They use techniques such as differential equations, statistical analysis, and computer simulations, often working with specialized software to create models that inform decision-making across industries like engineering, finance, and healthcare.

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 69% Full Time, 25% Part Time, 4% Temporary, and 2% Contract. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $95,894 per year, or $46.1 per hour.

Principal Game Designer - Casino & Gambling Games

Bellota Labs

Redwood City, CA • On-site

$200K - $250K/yr

Full-time

Re-posted 3 days ago

Job description

What You'll Do
  • Own the Game Vision - Define the design pillars that make our casino games distinct, addictive, and replayable. You know what creates a great session - now build it.
  • Design Core Systems & Mechanics - Lead the creation of gambling loops, volatility models, bonus structures, and reward systems that keep players engaged and coming back. Use AI tools (e.g., ChatGPT, Claude) to accelerate math modeling, Monte Carlo simulations, and RTP/volatility analysis - so you can pressure-test more designs in a week than most studios do in a quarter.
  • Collaborate Across Disciplines - Partner with math designers, engineers, artists, and product leads to bring games from concept to polished, market-ready release. Use AI-assisted writing and visual tools to communicate your vision faster and more clearly across disciplines.
  • Prototype & Iterate - Rapidly test game feel, payout structures, and bonus features to find what hits, then refine until it's right. Use AI coding assistants (e.g., Cursor, Claude, Replit Agent) to stand up playable prototypes quickly, and generative image tools (e.g., Midjourney, Firefly) to mock up themes, symbols, and bonus moments before a single pixel of art is commissioned.
  • Stay Sharp on the Market - Know what's dominating casino floors and online platforms. Understand what players are gravitating toward and why, and use that knowledge to stay ahead. Leverage AI research tools (e.g., Perplexity, ChatGPT, Claude) to accelerate competitive teardowns, player sentiment analysis, and trend reports.
  • Mentor & Elevate - Help level up other designers and contribute to a culture where great gambling game instincts - and AI-accelerated design workflows - are developed and rewarded.
  • Champion AI in Game Design - Continuously evaluate new AI tools and techniques that elevate creative output, math modeling, or iteration speed, and share learnings with the broader team.

What We're Looking For
  • 7+ years in game design, with direct experience designing casino, gambling, or high-engagement games - slots, table games, poker, or similar.
  • A real passion for gambling and casino culture. You play these games. You understand them from the inside out.
  • Deep knowledge of volatility, RTP, bonus mechanics, and what makes a game feel rewarding vs. flat.
  • Strong instincts for the moment-to-moment player experience - the near miss, the anticipation, the big win reveal.
  • Hands-on fluency with AI tools in a professional design workflow - for math modeling, prototyping, research synthesis, and visual exploration - with clear judgment about where AI accelerates the work and where designer instinct must lead.
  • Experience working cross-functionally and mentoring other designers.
  • Analytical chops to back up your creative instincts with data.

Why Join Bellota Labs:
  • Creative Ownership - Shape the design direction of entirely new gambling experiences from the ground up.
  • Play to Your Passion - This is a role for someone who genuinely loves this space, not someone learning to like it.
  • Impactful Work - Your designs will directly drive the success of our next major titles in the U.S. market.
  • Passionate Team - Work with people building in an area they care deeply about, moving fast and thinking big.

$200,000 - $250,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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