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Numerical Analysis Jobs in California (NOW HIRING)

Mochi Health

Senior FP&A Analyst

San Francisco, CA

$100K - $125K/yr

Work with data to produce analysis, influencing decision making with numerical analysis and generating insights * Partner with stakeholders across the organization, acting as a financial business ...

Mochi Health

Senior FP&A Analyst

San Francisco, CA · On-site

$100K - $125K/yr

Work with data to produce analysis, influencing decision making with numerical analysis and generating insights * Partner with stakeholders across the organization, acting as a financial business ...

Mochi Health

Senior FP&A Analyst

San Francisco, CA · On-site

$100K - $125K/yr

Work with data to produce analysis, influencing decision making with numerical analysis and generating insights * Partner with stakeholders across the organization, acting as a financial business ...

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All JobsNumerical Analysis JobsNumerical Analysis Jobs in California

Numerical Analysis information

See California salary details

$15

$24

$32

How much do numerical analysis jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for numerical analysis in California is $24.62, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $27.74 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Numerical Analysis position, and why are they important?

To thrive in Numerical Analysis, you need a strong background in mathematics, statistics, and computational methods, typically supported by a degree in applied mathematics, engineering, or a related field. Familiarity with programming languages (such as MATLAB, Python, or R) and proficiency in numerical simulation or modeling software are crucial. Attention to detail, analytical thinking, and effective communication stand out as valuable soft skills in this specialty. These competencies are critical for developing accurate numerical solutions and collaborating effectively within interdisciplinary technical teams.

What kinds of projects do professionals in Numerical Analysis typically work on?

Professionals in Numerical Analysis often work on projects involving the development and implementation of algorithms to solve complex mathematical problems, such as simulations, optimizations, and predictive modeling. Their work is typically applied to fields like engineering design, finance, data science, and scientific computing, where accurate numerical solutions are vital. On a daily basis, they may collaborate with engineers, scientists, and software developers to ensure models reflect real-world scenarios and produce reliable results. This collaborative and interdisciplinary approach offers plenty of opportunities to broaden expertise and progress into more specialized or senior analytical roles.

What does a numerical analyst do?

A numerical analyst develops and applies mathematical models and algorithms to solve complex quantitative problems, often using programming languages and software tools like MATLAB or Python. They analyze data, perform simulations, and optimize solutions in fields such as engineering, finance, or scientific research.

What is a Numerical Analysis job?

A Numerical Analysis job involves developing and applying mathematical algorithms to solve complex numerical problems. Professionals in this field use computational techniques to approximate solutions for equations that may not have analytical solutions. They work in areas such as engineering, physics, finance, and computer science to optimize simulations, data analysis, and modeling. Strong skills in programming, mathematics, and problem-solving are essential for success in this role.

What jobs use numerical analysis?

Numerical analysis is used in a variety of jobs such as data scientist, quantitative analyst, operations researcher, financial analyst, and engineer. These roles involve developing algorithms, modeling complex systems, and analyzing large datasets using tools like MATLAB, Python, or R. Strong mathematical skills and experience with computational tools are essential for these positions.

What are the top 5 math careers that pay well?

Numerical analysts and applied mathematicians often have high-paying careers, especially in finance, data science, and engineering sectors. Roles such as quantitative analyst, operations researcher, and data scientist typically require strong analytical skills and proficiency with programming tools like Python or R, with salaries reflecting their specialized expertise and demand.

What job makes $1,000,000 a year?

In the field of numerical analysis, high-paying roles such as quantitative analysts, hedge fund managers, or senior data scientists in finance can earn over $1 million annually through bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial modeling or algorithm development.
What are popular job titles related to Numerical Analysis jobs in California? For Numerical Analysis jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Numerical Analysis jobs? Cities in California with the most Numerical Analysis job openings:
Numerical Analysis jobs near you
Infographic showing various Numerical Analysis job openings in California as of July 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $51,203 per year, or $24.6 per hour.
Sr. Software Engineer, Propulsion Simulation & Data Analysis (Raptor)

Sr. Software Engineer, Propulsion Simulation & Data Analysis (Raptor)

SpaceX

Hawthorne, CA • On-site

Full-time

Posted 12 days ago

SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

14th of 71 rated aerospace companies

Job description

Job Summary:
SpaceX is actively developing the technologies to enable human life on Mars. The Sr. Software Engineer will work with the Raptor Systems Modeling and Control Team to maintain and improve simulation models and analyze data to support rocket engine performance and design decisions.
Responsibilities:
• Maintain and improve the accuracy of the lumped-parameter thermofluid physics model of the Raptor engine
• Conduce engine cycle analysis to steer future-state engine design and thrust upgrades
• Conduct anomaly resolution utilizing the engine model and sparse instrumentation
• Develop a detailed understanding of the physics underlying rocket engine performance, sources of performance variability, as well as related modeling and measurement techniques
• Maintain and improve the accuracy of the representation of the Raptor engine used in integrated vehicle simulations, control software validation and flight Monte Carlo analysis
• Develop tools and portals to understand the sources of engine performance variability and enact improvements to manufacturing and engine hardware design
• Automate processes and software tools that are used to predict test performance and generate flight performance predictions for GNC (guidance, navigation, and control) and flight software
• Collaborate with engineers across the company to extend and improve interoperability among existing tools as well as to standardize hardware and software practices, tools, and methods to maximize functionality and value while minimizing future overhead and obsolescence
Qualifications:
Required:
• Bachelor's degree in computer science, engineering, or a STEM discipline
• 5+ year experience writing computer software
• 5+ year experience with physics-based simulations of real dynamic systems
Preferred:
• Dynamical systems modeling
• Experience with lumped parameter modeling of physical systems
• Experience implementing physics-informed neural networks to solve real-world engineering problems
• Data driven analysis of complex systems
• Experience inferring root cause from sparse measurements
• Demonstrable proficiency in the basic principles of compressible and incompressible flow, thermodynamics, thermochemistry, mechanics, and materials
• Strong written and verbal communication skills, ability to make presentations to team members, internal customers and management
• Experience building data pipelines providing sanitization, curation, visualization, exploration to high dimensional datasets
• Experience working with or simulating combustion engines or fluid systems
• Full stack web development experience (database design, frontend)
• Frontend experience in Angular, React, or a similar JavaScript framework
• Backend Development: deliver well-tested, performant, and maintainable Python, C#/.NET, C++ or Java code
• Experience with version control, continuous integration, Unix-like operating systems
• Experience with control feedback loop design and implementation
• Experience with numerical analysis techniques and signal processing in multiple domains
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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