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Digital Twin Simulation Model Jobs in Missouri (NOW HIRING)

Jobtailor

Digital Engineer - MBSE Analyst

California, MO · On-site

$120 - $170/hr

Ensure compliance with model-interoperability approaches, data-exchange patterns, fidelity expectations, and integration guidance across digital-twin and simulation environments * Work with data, AI ...

New

Walmart

(USA) Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

Join a pioneering team in Bentonville, AR, dedicated to developing advanced Digital Twin simulations that function as dynamic operational models. The team applies machine learning, agentic AI, and ...

Walmart

(USA) Principal, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Join a pioneering team in Bentonville, AR, dedicated to developing advanced Digital Twin simulations that function as dynamic operational models. The team applies machine learning, agentic AI, and ...

Walmart

(USA) Principal, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

Join a pioneering team in Bentonville, AR, dedicated to developing advanced Digital Twin simulations that function as dynamic operational models. The team applies machine learning, agentic AI, and ...

Pwc

Digital Manufacturing Director

Saint Louis, MO · On-site

$155K - $410K/yr

Digital Twin; Digital Manufacturing Strategy Development; Digital Manufacturing Blueprint & Design ... Possesses financial modeling skills; Possesses the ability to influence and shape thinking of peer ...

Pwc

Digital Manufacturing Director

Kansas City, MO · On-site

$155K - $410K/yr

Digital Twin; Digital Manufacturing Strategy Development; Digital Manufacturing Blueprint & Design ... Possesses financial modeling skills; Possesses the ability to influence and shape thinking of peer ...

MBH Architects

Design Technology Director

California, MO · On-site

$150 - $190/hr

Oversee digital twin, visualization (VR/AR), and environmental simulation efforts to elevate ... Ensure quality control and digital audits across complex project models; maintain data security and ...

Pwc

Digital Manufacturing, Manager

Saint Louis, MO · On-site

$99K - $232K/yr

Digital Twin; Digital Manufacturing Strategy Development; Digital Manufacturing Blueprint & Design ... Possesses financial modeling skills; Possesses the ability to influence and shape thinking of peer ...

Pwc

Digital Manufacturing, Manager

Kansas City, MO

$99K - $232K/yr

Digital Twin; Digital Manufacturing Strategy Development; Digital Manufacturing Blueprint & Design ... Possesses financial modeling skills; Possesses the ability to influence and shape thinking of peer ...

Belcan Corporation

Sr. CNC Programmer

California, MO · On-site

$99 - $121/hr

... simulation and verification tools (e.g., VERICUT) for digital twin validation, collision avoidance, and process reliability. * Interpret and create technical drawings, GD&T, and 3D CAD models to ...

One Tech

Digital Delivery Specialist

Kansas City, MO · On-site

$92K - $105K/yr

Prepare and present digital model presentations for clients. Execute changes to virtual reality simulations for internal and external stakeholders. Research and compile required project-related data ...

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All JobsDigital Twin Simulation Model JobsDigital Twin Simulation Model Jobs in Missouri

Digital Twin Simulation Model information

See Missouri salary details

$36.6K

$95K

$135.1K

How much do digital twin simulation model jobs pay per year?

As of Sep 6, 2026, the average yearly pay for digital twin simulation model in Missouri is $94,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $121,500.00 per year, depending on experience, location, and employer.

What is a digital twin simulation model?

A Digital Twin Simulation Model is a virtual representation of a physical object, process, or system that is used to simulate, predict, and optimize its real-world counterpart. By using real-time data and advanced analytics, digital twins help organizations monitor performance, detect issues, and test scenarios without impacting actual operations. These models are widely used in industries such as manufacturing, healthcare, and smart cities to improve efficiency, reduce costs, and enable better decision-making.

What are common challenges faced when developing digital twin simulation models, and how can they be addressed?

One common challenge in developing digital twin simulation models is ensuring accurate data integration from various sources, which is crucial for creating realistic and actionable simulations. Team members often need to collaborate closely with engineers, IT specialists, and data analysts to validate and synchronize real-world and simulated data. Addressing these challenges requires strong communication skills, familiarity with integration tools, and a proactive approach to troubleshooting discrepancies. Additionally, keeping up with rapidly evolving technologies in simulation software and IoT devices is essential for maintaining effective and up-to-date models.

What are the key skills and qualifications needed to thrive as a digital twin simulation modeler, and why are they important?

To thrive as a Digital Twin Simulation Modeler, you need a solid background in engineering, computer science, or data science, along with experience in simulation modeling and systems analysis. Familiarity with tools like MATLAB, Simulink, Python, and specialized digital twin platforms (such as Siemens NX or PTC ThingWorx), plus relevant certifications, is often expected. Strong problem-solving abilities, communication, and collaboration skills help in translating real-world processes into accurate virtual models and working with cross-functional teams. These capabilities are crucial to create effective, scalable, and reliable digital twins that drive innovation and operational efficiency.

What is the difference between Digital Twin Simulation Model vs Data Analyst?

AspectDigital Twin Simulation ModelData Analyst
Required CredentialsEngineering, Computer Science, or related technical degrees; certifications in simulation or modelingStatistics, Data Science, or related degrees; certifications in data analysis tools
Work EnvironmentIndustrial, manufacturing, or engineering settings; using simulation softwareOffice or remote; analyzing datasets and creating reports
Industry UsageManufacturing, aerospace, energy, and infrastructureFinance, marketing, healthcare, and technology sectors
Search & Comparison IntentUnderstanding simulation modeling for system optimizationAnalyzing data trends and insights

The Digital Twin Simulation Model focuses on creating virtual replicas of physical systems for testing and optimization, often requiring engineering expertise. In contrast, Data Analysts interpret data to inform business decisions, typically using statistical tools. While both roles involve data and modeling, their applications and environments differ significantly.

What are popular job titles related to Digital Twin Simulation Model jobs in Missouri?

For Digital Twin Simulation Model jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Digital Twin Simulation Model jobs in Missouri look for?

The top searched job categories for Digital Twin Simulation Model jobs in Missouri are:

What cities in Missouri are hiring for Digital Twin Simulation Model jobs?

Cities in Missouri with the most Digital Twin Simulation Model job openings:

Digital Twin Simulation Model jobs near you
Infographic showing various Digital Twin Simulation Model job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $94,978 per year, or $45.7 per hour.

Digital Engineer - MBSE Analyst

Jobtailor

California, MO • On-site

$120 - $170/hr

Other

Posted yesterday

New

Job description

  • Help lead technical planning and execution of digital-twin efforts in support of program objectives
  • Support development of digital-twin concepts, architectures, use cases, and technical roadmaps with engineering and program teams
  • Assist in adapting Peraton Labs’ agentic AI and digital-twin capabilities to program-specific needs
  • Define component-level requirements derived from operational needs, systems-engineering objectives, system behaviors, and stakeholder priorities
  • Ensure compliance with model-interoperability approaches, data-exchange patterns, fidelity expectations, and integration guidance across digital-twin and simulation environments
  • Work with data, AI/ML, software, and systems-engineering teams to identify and integrate data sources, dependencies, model inputs and outputs, assumptions, and validation methods
  • Identify technical risks, dependencies, sequencing concerns, integration challenges, and capability gaps associated with digital-twin development
  • Keep digital-twin efforts aligned with program objectives, MBSE practices, CTO advanced-analytics initiatives, and stakeholder needs
Requirements
  • Associate's degree and 7+ years of experience in a Systems Engineering related field; OR bachelor's degree in Computer Science, Computer Engineering, Cloud Computing, or related field and 5+ years of experience in a Systems Engineering related field; OR master's degree in Computer Science, Computer Engineering, Cloud Computing, or related field and 3+ years of experience in a systems engineering related field
  • Additional four (4) years of relevant experience will be considered in lieu of a degree
  • Minimum of Top Secret clearance with ability to upgrade to TS/SCI; must maintain the clearance
  • 2+ years of experience applying MBSE in complex system environments
  • Experience developing and supporting systems-engineering processes across the full system lifecycle, including analysis, planning, design, development, deployment, integration, testing, or configuration of software
  • Expertise using the Cameo Systems Modeler suite of tools
  • Experience with MBSE validation suites
  • Experience generating documents or specifications directly from MBSE models
  • Experience with MBSE model federation
  • Experience developing MBSE style guides or modeling standards
Core Competencies

Demonstrates expertise in Systems Engineering with a focus on Model-Based Systems Engineering (MBSE) practices, digital-twin development, and integration of AI/ML capabilities. Proven ability to lead technical planning, ensure compliance with interoperability standards, and align efforts with program objectives.

Highest-signal resume keywords
  • Model-Based Systems Engineering (MBSE)
  • Digital-Twin Development
  • Cameo Systems Modeler
  • Systems Engineering Lifecycle
  • Top Secret Clearance
Hard Skills
  • Systems Engineering
  • Digital-Twin Concepts
  • Technical Roadmaps
  • Data Integration
  • Requirements Definition
  • Model Validation
  • Specification Generation
  • Model Federation
  • Fidelity Expectations
  • Integration Guidance
Certifications & Qualifications
  • Top Secret Clearance
Industry Keywords
  • Model Interoperability
  • Data Exchange Patterns
  • Stakeholder Priorities
  • Technical Risks
  • System Behaviors
Tools & Technologies
  • Cameo Systems Modeler Suite
  • MBSE Validation Suites
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