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Modeling And Simulation Engineer Jobs in Missouri

Omni Federal

Senior Frontend Engineer

Saint Louis, MO · On-site

$119.10K - $163.80K/yr

Senior Frontend Engineer Location: St. Louis, MO Security Clearance: Active TS/SCI (or SCI ... Modeling Simulation. The company leverages commercial technology to enhance the capabilities of the ...

Omni Federal

Software Engineer

Saint Louis, MO · On-site

... Modeling Simulation, Omni leverages cutting-edge commercial technology tailored to government ... The engineer will work with an existing code base--learning it quickly, manipulating it for ...

Omni Federal

Senior Software Engineer

Saint Louis, MO · On-site

$119.10K - $157K/yr

Senior Software Engineer Location: St. Louis, MO Security Clearance: Active TS/SCI (or SCI ... Modeling Simulation. The company leverages commercial technology to enhance the capabilities of the ...

Walmart

Staff, Data Scientist

Noel, MO

$110K - $220K/yr

... simulation, and optimization that empower our customers across Walmart to make data-driven ... Collaborating with data engineers to preprocess, clean, and structure data for model training and ...

Walmart

Staff, Data Scientist

Cassville, MO

$110K - $220K/yr

... simulation, and optimization that empower our customers across Walmart to make data-driven ... Collaborating with data engineers to preprocess, clean, and structure data for model training and ...

Walmart

Staff, Data Scientist

Anderson, MO

$110K - $220K/yr

... simulation, and optimization that empower our customers across Walmart to make data-driven ... Collaborating with data engineers to preprocess, clean, and structure data for model training and ...

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Modeling And Simulation Engineer information

See Missouri salary details

$36.6K

$115.7K

$178.7K

How much do modeling and simulation engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for modeling and simulation engineer in Missouri is $115,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,300.00 and $137,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

What are some common challenges a Modeling and Simulation Engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

What are Modeling and Simulation Engineers?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

What are popular job titles related to Modeling And Simulation Engineer jobs in Missouri? For Modeling And Simulation Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Modeling And Simulation Engineer jobs in Missouri look for? The top searched job categories for Modeling And Simulation Engineer jobs in Missouri are:
What cities in Missouri are hiring for Modeling And Simulation Engineer jobs? Cities in Missouri with the most Modeling And Simulation Engineer job openings:
Modeling And Simulation Engineer jobs near you
Infographic showing various Modeling And Simulation Engineer job openings in Missouri as of May 2026, with employment types broken down into 4% As Needed, 6% Full Time, and 90% Part Time. Highlights an 99% Physical, and 1% Hybrid job distribution, with an average salary of $115,749 per year, or $55.6 per hour.
Simulation Engineer - AI Trainer

Simulation Engineer - AI Trainer

DataAnnotation

California, MO • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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