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Modeling Simulation Analyst Jobs in Corvallis, OR

Convert Revit-based design models into fabrication-ready components using hsbCAD, including single ... Conduct simulations, dry runs, and first-piece validation to confirm geometry, tooling, machining ...

Convert Revit-based design models into fabrication-ready components usinghsbCAD, including single ... Conduct simulations, dry runs, and first-piece validation to confirm geometry, tooling, machining ...

Senior Process Engineer

Albany, OR · On-site

$101K - $131K/yr

Create process engineering deliverables, including design, analysis, and optimization of industrial ... Develop sketches and coordinate the completion of associated models with the design team. * Lead ...

Senior Process Engineer

Albany, OR · On-site

$101K - $131K/yr

Create process engineering deliverables, including design, analysis, and optimization of industrial ... Develop sketches and coordinate the completion of associated models with the design team.Lead ...

Knowledge & Skills 3D Modeling (CREO, SolidWorks, Inventor....) Ansys Simulation Software Computer ... analysis, and recommendations in support of team efforts. The pay range for this role is $73,800 to ...

Modeling Simulation Analyst information

See Corvallis, OR salary details

$40.4K

$104.9K

$149.2K

How much do modeling simulation analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for modeling simulation analyst in Corvallis, OR is $104,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $134,200.00 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 job categories do people searching Modeling Simulation Analyst jobs in Corvallis, OR look for?

The top searched job categories for Modeling Simulation Analyst jobs in Corvallis, OR are:

What cities near Corvallis, OR are hiring for Modeling Simulation Analyst jobs?

Cities near Corvallis, OR with the most Modeling Simulation Analyst job openings:

Robotics AI Data Collection Operator (Robot Trainer)

TSMG

Salem, OR • On-site

Full-time

Re-posted 18 days ago


Job description

About the Role

We are looking for Robotics AI Data Collection Operators to support the development of next-generation intelligent robotic systems.

In this role, you will interact directly with robotic platforms, perform physical tasks, and generate high-quality demonstration data that helps train advanced AI models. Your work will contribute to the development of robots capable of performing real-world tasks in homes, warehouses, manufacturing facilities, and other environments.

Responsibilities
  • Operate robotic systems using teleoperation interfaces and specialized controllers
  • Perform demonstrations of physical tasks to generate training data
  • Execute repetitive tasks with a strong focus on consistency and quality
  • Follow detailed operational procedures and data collection protocols
  • Review recorded demonstrations and identify quality issues
  • Provide feedback on robot performance and task execution
  • Assist with robot setup, calibration, and workspace preparation
  • Maintain accurate records of completed activities
  • Meet daily productivity and quality targets
Example Tasks
  • Picking and placing objects
  • Sorting items into designated containers
  • Opening and closing containers of various sizes
  • Folding clothing and textiles
  • Performing assembly and manipulation tasks
  • Executing multi-step workflows involving tools and components
Requirements
  • Strong attention to detail
  • Good hand-eye coordination and manual dexterity
  • Ability to follow structured procedures
  • Comfortable performing repetitive tasks
  • Basic computer skills
  • Ability to stand or work at a station for extended periods
Nice to Have
  • Experience with robotics or automation systems
  • Manufacturing, assembly, laboratory, or technical experience
  • Gaming or simulation experience using controllers
  • Interest in AI, robotics, or emerging technologies
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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