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Modeling Simulation Analyst Jobs in Rochester Hills, MI

Perform modeling, simulation, and analysis tasks assess system survivability, system effectiveness, and overall system performance in engagement / mission-level scenarios. * Build simulation library ...

Simulation Engineer

Auburn Hills, MI ยท On-site

$70 - $100/hr

Perform modeling, simulation, and analysis tasks assess system survivability, system effectiveness, and overall system performance in engagement / mission-level scenarios. Build simulation library of ...

Perform modeling, simulation, and analysis tasks assess system survivability, system effectiveness, and overall system performance in engagement / mission-level scenarios. * Build simulation library ...

Analyze and model manufacturing, warehousing, and material flow systems to evaluate throughput, capacity, and operational performance. * Develop discrete event simulation models to support concept ...

Model and analyze production lines, material handling systems, and transportation networks * Conduct simulation studies to evaluate: * Throughput, bottlenecks, and downtime * Delivery routes and ...

Model and analyze production lines, material handling systems, and transportation networks * Conduct simulation studies to evaluate: * Throughput, bottlenecks, and downtime * Delivery routes and ...

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Modeling Simulation Analyst information

See Rochester Hills, MI salary details

$35.9K

$93.2K

$132.5K

How much do modeling simulation analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for modeling simulation analyst in Rochester Hills, MI is $93,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $119,200.00 per year, depending on experience, location, and employer.

What is a modeling simulation analyst?

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.

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 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.

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.

Is modeling a high paying job?

Modeling simulation analysts often earn competitive salaries, especially with experience and advanced skills in programming, data analysis, and simulation tools. Salaries can vary based on industry, location, and level of expertise, but the role generally offers above-average compensation compared to many entry-level positions.

What does a modeling simulation analyst do?

A modeling simulation analyst develops and runs computer models to analyze complex systems and predict outcomes. They use specialized software and data analysis skills to support decision-making in fields like engineering, defense, or manufacturing, often working with large datasets and simulation tools. The role requires strong analytical skills, attention to detail, and knowledge of modeling techniques and programming languages.

What are popular job titles related to Modeling Simulation Analyst jobs in Rochester Hills, MI?

For Modeling Simulation Analyst jobs in Rochester Hills, MI, the most frequently searched job titles are:

What job categories do people searching Modeling Simulation Analyst jobs in Rochester Hills, MI look for?

The top searched job categories for Modeling Simulation Analyst jobs in Rochester Hills, MI are:

What cities near Rochester Hills, MI are hiring for Modeling Simulation Analyst jobs?

Cities near Rochester Hills, MI with the most Modeling Simulation Analyst job openings:

Modeling & Simulation Engineer - Automotive

Auburn Hills, MI โ€ข On-site

ALTEN Technology USA
Engineering Professional Servicesย โ€ขย 10K+ employees

Full-time

Posted 15 days ago


Job description

Job Description

  • We are seeking a Plant Modeling and Simulation Engineer to develop, validate, and maintain high-quality plant models supporting XIL, virtual validation, and system integration activities.
  • This role focuses on building scalable, reusable models across multiple vehicle domains and ensuring alignment with system-level requirements and verification workflows.
  • The engineer will work closely with cross-functional teams including system design, architecture, controls, and testing organizations to enable efficient virtual development and validation using model-based techniques.
  • This role is ideal for engineers who:
  • Enjoy deep technical work in modeling and simulation
  • Want to contribute to system-level development and validation
  • Are building toward technical leadership or system architecture roles

Key Responsibilities:ย 

  • Plant Model Development
  • Develop and maintain 0D/1D plant models representing physical systems (e.g., propulsion, chassis, ADAS, infotainment).
  • Ensure models meet appropriate fidelity levels depending on development phase (concept, design, integration, validation).
  • Perform model validation and correlation against requirements and test data.
  • Support model reduction and optimization for simulation efficiency.
  • Model-Based Development Support
  • Integrate plant models into XIL workflows and environments.
  • Support virtual testing, requirement validation, and system verification activities.
  • Collaborate with controls and system engineers to ensure alignment between plant models and control strategies.
  • Contribute to continuous integration pipelines for model development and validation.
  • Collaboration & Integration
  • Work with:
  • System and functional design teams
  • Architecture and simulation framework teams
  • Testing and validation teams
  • Suppliers and tool vendors
  • Ensure plant models:
  • Are compatible with simulation platforms
  • Support cross-domain integration
  • Enable efficient data exchange and reuse
  • Model Quality & Governance
  • Follow established modeling best practices and standards
  • Participate in:
  • Model reviews
  • Quality checks and validation processes
  • Maintain:
  • Model documentation
  • Version control and configuration management
  • Continuous Improvement
  • Support initiatives to improve:
  • Model fidelity and performance
  • Reusability and scalability
  • Simulation efficiency
  • Contribute to tool evaluation, benchmarking, and process enhancements

Requirements / Basic Qualifications:

  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or related field
  • A minimum of 3 years of experience in plant modeling, simulation, or V&V environments
  • Strong understanding of Model-Based Development (MBD) and virtual testing methods
  • Experience with MATLAB/Simulink or similar modeling tools
  • Knowledge of physical system modeling (0D/1D)
  • Strong problem-solving and analytical skills
  • Knowledge of CI/CD tools and methods
  • Experience in one scripting language

Preferred Qualifications:

  • Experience in automotive OEM
  • Familiarity with xIL environments (MIL/SIL/HIL)
  • Understanding of automotive V&V processes and standards
  • Experience with:
  • Model validation and correlation
  • Variant/configuration management
  • Version control systems
  • Domain experience in:
  • Propulsion
  • ADAS
  • Chassis
  • Infotainment

Key Competencies:

  • Strong collaboration and communication skills
  • Ability to work in cross-functional teams
  • Attention to detail and commitment to model quality
  • Adaptability to Agile development environments