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Modeling Simulation Analyst Jobs in Toledo, OH (NOW HIRING)

Fortune Brands

Lead CAE Engineer

Maumee, OH · On-site

$105K - $165K/yr

Implement simulation governance protocols, quality measure & checks to ensure simulation accuracy * Lead validation and correlation of the analytical models with test & field data * Lead and manage ...

Infodyne Solutions

Calibration Engineer

Monroe, MI · On-site

Support modeling and simulation of electrical dampening systems including but not limited to driver ... Capability to perform data acquisition and analysis utilizing CAN-based calibration tools, e.g ...

NSG Group

Automotive Tooling Engineer

Northwood, OH · On-site

... design, simulation, surfacing, CMM, laser scanning, flat shape development, artwork, data ... Experience in using problem-solving models and providing statistical data to support results.

Regal Rexnord

Design Engineer III

Bowling Green, OH · On-site

$100K - $110K/yr

Work Model: This is a fully onsite role, with work performed at your designated Regal Rexnord ... Proficiency in Finite Element Analysis for mechanical or electrical simulation (Ansys preferred ...

NSG Group

Automotive Tooling Engineer

Northwood, OH · On-site

... design, simulation, surfacing, CMM, laser scanning, flat shape development, artwork, data ... Experience in using problem-solving models and providing statistical data to support results.

All JobsModeling Simulation Analyst JobsModeling Simulation Analyst Jobs in Toledo, OH

Modeling Simulation Analyst information

See Toledo, OH salary details

$38.4K

$99.6K

$141.7K

How much do modeling simulation analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for modeling simulation analyst in Toledo, OH is $99,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,200.00 and $127,400.00 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 Toledo, OH?

For Modeling Simulation Analyst jobs in Toledo, OH, the most frequently searched job titles are:

What job categories do people searching Modeling Simulation Analyst jobs in Toledo, OH look for?

The top searched job categories for Modeling Simulation Analyst jobs in Toledo, OH are:

What cities near Toledo, OH are hiring for Modeling Simulation Analyst jobs?

Cities near Toledo, OH with the most Modeling Simulation Analyst job openings:

Modeling Simulation Analyst jobs near you

Engineer, Development (AI-Augmented Scientific Modeling)

JMJ PHILLIP

Perrysburg, OH • On-site

$130 - $160/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

We are seeking an Engineer, Development (AI-Augmented Scientific Modeling) to develop and enhance advanced scientific modeling solutions by integrating artificial intelligence, data-driven methodologies, and computational engineering techniques. The ideal candidate is passionate about innovation, enjoys solving complex technical challenges, and has experience applying AI and computational modeling to accelerate research, product development, and engineering decision-making.

Position ResponsibilitiesAI Model Development
  • Develop and implement AI-augmented scientific and engineering models.
  • Integrate machine learning techniques with traditional physics-based modeling approaches.
  • Evaluate and improve model accuracy, scalability, and performance.
Scientific Modeling & Simulation
  • Design, develop, and validate computational models for engineering and scientific applications.
  • Analyze simulation results and recommend design or process improvements.
  • Ensure models accurately represent real-world systems and behaviors.
Data Analysis & Machine Learning
  • Collect, clean, and analyze large datasets to support predictive modeling.
  • Develop algorithms that improve model efficiency and decision-making.
  • Apply statistical and machine learning techniques to solve engineering challenges.
Research & Innovation
  • Stay current with advancements in AI, scientific computing, and emerging technologies.
  • Evaluate new tools and methodologies to improve development capabilities.
  • Contribute to research initiatives and technology roadmaps.
Cross-Functional Collaboration
  • Collaborate with engineering, research, software development, and data science teams.
  • Translate complex technical findings into actionable recommendations.
  • Support product development through technical expertise and analytical insights.
Documentation & Technical Communication
  • Prepare technical documentation, reports, and model validation results.
  • Present findings to internal stakeholders and leadership.
  • Maintain documentation to support knowledge sharing and regulatory compliance where applicable.
Prerequisites
  • Bachelor's, Master's, or Ph.D. in Engineering, Computer Science, Applied Mathematics, Physics, Materials Science, or a related technical field.
  • Experience in scientific computing, computational modeling, simulation, or AI-driven engineering applications.
  • Knowledge of machine learning frameworks and programming languages such as Python, MATLAB, or similar tools.
  • Experience with numerical methods, optimization, and data analysis.
  • Strong analytical, problem‑solving, and communication skills.
  • Ability to work collaboratively in multidisciplinary engineering and research environments.
Certifications (Preferred, but Not Required)
  • AWS Certified Machine Learning – Specialty
  • Microsoft Certified: Azure AI Engineer Associate
  • Google Professional Machine Learning Engineer
  • Certified TensorFlow Developer
  • Data Science or Artificial Intelligence certifications
  • Lean Six Sigma Green Belt
What the Role Offers
  • Salary Range: $130,000 – $160,000 annually.
  • Comprehensive health, dental, and vision insurance.
  • Retirement savings plan with company contributions.
  • Performance-based incentive opportunities.
  • Paid time off and company holidays.
  • Professional development and continuing education support.
  • Access to cutting‑edge AI technologies and research initiatives.
  • Collaborative engineering environment with opportunities for career advancement.
Why Perrysburg?

Perrysburg offers an excellent environment for engineering and technology professionals, with access to a growing innovation ecosystem, advanced manufacturing, and research-driven industries. The area provides opportunities to work on cutting‑edge technologies while enjoying a strong professional community, a high quality of life, and excellent long‑term career growth.

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