1

Modeling Simulation Analyst Jobs in Riverside, CA

Senior Scientist

Riverside, CA · On-site

$95K - $130K/yr

Develop models, simulations, and analytical frameworks to support mission decision-making. * Support data analysis efforts related to sensor inputs, surveillance systems, and operational intelligence.

... level modeling to system-wide steady-state and transient simulations. By establishing the "gold ... Analyze the impact of the under-hood vehicle environment on low-voltage electronics and define ...

... level modeling to system-wide steady-state and transient simulations. By establishing the "gold ... Analyze the impact of the under-hood vehicle environment on low-voltage electronics and define ...

... level modeling to system-wide steady-state and transient simulations. By establishing the "gold ... Analyze the impact of the under-hood vehicle environment on low-voltage electronics and define ...

Durability Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

As a Durability Analytics Engineer, you will be part of the collaborative team of simulation, test ... Learn from simulation and test data to develop a library of regression models for variance in ...

next page

Showing results 1-20

Modeling Simulation Analyst information

See Riverside, CA salary details

$40.7K

$105.6K

$150.2K

How much do modeling simulation analyst jobs pay per year?

As of Jul 21, 2026, the average yearly pay for modeling simulation analyst in Riverside, CA is $105,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $135,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Modeling Simulation Analyst, and why are they important?

To thrive as a Modeling Simulation Analyst, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree such as in engineering or applied mathematics. Proficiency in simulation software (e.g., MATLAB, Simulink, Arena), programming languages (such as Python or C++), and familiarity with data analysis tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top candidates apart in this role. These abilities are vital for developing accurate models, interpreting complex data, and clearly presenting findings to support strategic decision-making.

How does a Modeling Simulation Analyst typically collaborate with cross-functional teams during a project?

Modeling Simulation Analysts frequently work alongside engineers, data scientists, and project managers to develop and refine simulation models. Collaboration often involves gathering system requirements, validating model assumptions with subject matter experts, and presenting simulation results to stakeholders. Clear communication is essential, as analysts must translate complex simulation data into actionable insights for decision-makers. Regular team meetings and iterative feedback are common to ensure the models accurately reflect real-world scenarios and project goals.

What are Modeling Simulation Analysts?

Modeling Simulation Analysts are professionals who use mathematical models, simulations, and analytical techniques to study complex systems and predict their behavior. They help organizations make informed decisions by evaluating scenarios, testing hypotheses, and optimizing processes through virtual models. These analysts work in various industries, including defense, healthcare, manufacturing, and transportation, to improve efficiency, reduce costs, and support planning and strategy. Their work often involves collaboration with engineers, scientists, and decision-makers to interpret simulation results and implement solutions.

What is the difference between Modeling Simulation Analyst vs Data Analyst?

AspectModeling Simulation AnalystData Analyst
Required CredentialsBachelor's or master's in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering labs, simulation centers, or technical departmentsOffice settings, data centers, or business environments
Employer & Industry UsageManufacturing, aerospace, defense, or engineering firmsFinance, healthcare, marketing, or business sectors
Common Search & ComparisonYesYes

The Modeling Simulation Analyst focuses on creating and analyzing simulations to predict system behaviors, often requiring engineering or technical expertise. In contrast, Data Analysts interpret data sets to inform business decisions, typically using statistical tools. While both roles involve data handling, the Modeling Simulation Analyst emphasizes modeling complex systems, whereas Data Analysts focus on data interpretation for strategic insights.

What are popular job titles related to Modeling Simulation Analyst jobs in Riverside, CA? For Modeling Simulation Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Modeling Simulation Analyst jobs in Riverside, CA look for? The top searched job categories for Modeling Simulation Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Modeling Simulation Analyst jobs? Cities near Riverside, CA with the most Modeling Simulation Analyst job openings:
Infographic showing various Modeling Simulation Analyst job openings in Riverside, CA as of June 2026, with employment types broken down into 1% As Needed, 72% Full Time, 13% Part Time, 1% Temporary, and 13% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $105,636 per year, or $50.8 per hour.
AMOC Senior Scientist

Full-time

Posted 12 days ago


Job description

Job Summary:
Planned Systems International (PSI) is an enterprise IT services company that designs, builds, secures, and operates software solutions that support mission success and operational excellence across Federal Government organizations. PSI is seeking an AMOC Senior Scientist to provide full-time support to the CBP Air and Marine Operations Center, applying advanced scientific, analytical, and technical expertise to enhance system performance and operational effectiveness.
Responsibilities:
• Apply scientific and analytical methods to evaluate C4I, ISR, and operational data environments
• Develop models, simulations, and analytical frameworks to support mission decision-making
• Support data analysis efforts related to sensor inputs, surveillance systems, and operational intelligence
• Conduct research and analysis to improve system performance, predictive capabilities, and mission outcomes
• Provide technical expertise in evaluating emerging technologies and their applicability to mission needs
• Support development of data-driven solutions for threat detection, situational awareness, and operational planning
• Collaborate with engineering and operations teams to integrate analytical solutions into operational systems
• Analyze system performance data and recommend improvements to enhance reliability and effectiveness
• Support testing, validation, and evaluation of new analytical tools and capabilities
• Provide technical reports, briefings, and recommendations to Government stakeholders
• Ensure compliance with security, data handling, and operational requirements
Qualifications:
Required:
• Bachelor’s degree in Engineering, Computer Science, Information Technology, or related field; experience may substitute
• Experience supporting maintenance and sustainment of C4I, AMOSS, or ISR systems in operational environments
• Experience troubleshooting complex system issues across hardware, software, and network components
• Experience working with mission equipment, maintenance tools, and COTS systems
• Experience using diagnostic and test equipment to identify and resolve system faults
• Demonstrated understanding of operational requirements and ability to apply technical procedures in mission environments
• 10+ years: Applying scientific or analytical methods to complex technical or operational problems
• 10+ years: Supporting ISR systems, data analysis, and C4I environments
• 10+ years: Developing models, simulations, and analytical tools
• 10+ years: Analyzing large datasets and generating actionable insights
• 10+ years: Supporting mission-critical operations in high-tempo environments
• 10+ years: Working within DoD, DHS, or similar Federal operational environments
• Ability to work in operational environments supporting technical systems
• May require standing, walking, and limited lifting of equipment
• Ability to travel and deploy to operational locations as required
Company:
Planned Systems International, Inc. provides information technology (IT) solutions and services to federal government and private sector Founded in 1988, the company is headquartered in Columbia, USA, with a team of 1001-5000 employees. The company is currently Late Stage.