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Modeler Jobs in Indiana (NOW HIRING)

ManTech

Modeling and Systems Engineer

Crane, IN

Using Cameo Systems Modeler to build high-fidelity SysML v2 models of Navy/Defense platforms, systems, and processes * Creating and developing novel approaches to integrate SysML v2 models of Navy ...

MISO

Engineer III System Modeling

Carmel, IN · On-site

$109K - $134K/yr

Build, update, and maintain transmission and generation models supporting reliability, economic, and policy studies through collaboration with internal teams and external stakeholders-including ...

MISO

Sr Engineer System Modeling

Carmel, IN · On-site

$124K - $149K/yr

Build, update, and maintain transmission and generation models supporting reliability, economic, and policy studies through collaboration with internal teams and external stakeholders-including ...

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How much do modeler jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for modeler in Indiana is $38.38, according to ZipRecruiter salary data. Most workers in this role earn between $29.76 and $41.39 per hour, depending on experience, location, and employer.

What Does a Data Modeler Do?

A data modeler builds an organizational structure for a company’s data. As a data modeler, your primary responsibility is database design. Following directives from business leaders, your focus may be reducing data redundancy, improving data migration, or facilitating data retrieval. Collaboration with data architects and other data modelers is a regular aspect of your job as the team works to create physical, logical, and conceptual data models that help achieve business objectives. Your ability to translate raw data into actionable information is of great value to large corporations.

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

To thrive as a Modeler, you need strong mathematical and analytical abilities, experience with data analysis, and typically a degree in mathematics, statistics, computer science, or a related field. Proficiency with modeling software such as MATLAB, SAS, R, Python, and familiarity with database systems are commonly required. Attention to detail, problem-solving, and effective communication help modelers translate complex data insights into actionable recommendations. These skills are crucial for developing accurate models that inform business decisions and drive organizational success.

How do modelers typically collaborate with other team members during a project?

Modelers work closely with designers, animators, and technical directors to ensure that 3D assets meet both artistic and technical requirements. Regular meetings and feedback sessions help align the model's style and functionality with the project's vision. Modelers often iterate on their work based on input from other departments, making strong communication and adaptability key to success in this role. The collaborative environment fosters learning and can lead to new opportunities in areas such as texturing or animation.

What are modelers and what do they do?

Modelers are professionals who create representations of objects, systems, or concepts, often using specialized software. Their work can involve building physical models for engineering, architecture, or science, or developing digital models for industries like animation, gaming, finance, or data analysis. Modelers use their technical skills to simulate real-world behaviors, visualize ideas, and support decision-making. Their specific responsibilities depend on the industry but generally involve detailed design, analysis, and collaboration with other specialists.

What is the difference between Modeler vs Data Analyst?

AspectModelerData Analyst
Required CredentialsDegree in mathematics, statistics, or related field; certifications in modeling softwareDegree in statistics, data science, or related; certifications in data analysis tools
Work EnvironmentFinancial, insurance, or engineering firms focusing on creating modelsBusiness, marketing, or finance sectors analyzing data trends
Employer & Industry UsageUsed for risk assessment, financial forecasting, and simulationUsed for reporting, data visualization, and insights generation

Modelers focus on developing mathematical and statistical models to predict and simulate scenarios, often working with complex software. Data Analysts interpret data, generate reports, and provide actionable insights. While both roles require strong analytical skills and familiarity with data tools, Modelers typically work on building predictive models, whereas Data Analysts focus on analyzing and visualizing data to inform decisions.

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Modeler jobs near you
Senior Modeling and Simulation Engineer Analyst

Senior Modeling and Simulation Engineer Analyst

Modern Technology Solutions, Inc.

Bloomington, IN • On-site

Full-time

Posted 29 days ago

Job description

Modern Technology Solutions, Inc. (MTSI) is seeking a Senior Modeling and Simulation Engineer Analyst to join our team, primarily working on-site in classified spaces at Naval Strike Warfare Center- Crane in Crane, Indiana. You will help meet the requirements of our expanding customer base at NSWC-Crane primarily supporting the Modeling and Simulation Division within that organization. This includes working directly with customers, study leads, and model developers to create and execute analysis plans in various simulation environments, including AFSIM, SUPPRESSOR, EADSim, and other mission and engagement level models. You will replicate systems or concepts under consideration for various operational scenarios using concepts of operation and behaviors. Additionally, you will define bounds for run matrix execution, carry out run execution, and perform analysis of results. You will work with a study team as well as independently and assist less experienced team members with technical tasks, career development, and professional growth. In execution of this position. You will have significant MTSI Corporate reach back support to our AFSIM and Mission Engineering expertise.
Responsibilities:
  • Lead efforts in defining study questions to address areas of concern and translate them into analysis plans.
  • Develop models in physics simulation frameworks to represent system performance and behaviors.
  • Develop run matrices and lead a study team to conduct simulation runs and produce output.
  • Post-process output data into measures of merit and effectiveness to support the analysis plan objectives.
  • Perform verification and validation of simulation input, output and results.
  • Lead interpretation of model results and development of presentations to deliver findings and conclusions to the customer in support of their analytical objectives.
  • Ensure quality of modeling & simulation products, including briefings for stakeholders/customers.
  • Assign sub-tasking to study team members, monitor progress, and provide guidance and direction for performance improvements.
  • Possibility to directly manage Associate and Engineer-level employees.

Required Qualifications:
  • US citizenship is required
  • Top Secret clearance with SCI Eligibility
  • 6+ years of experience with mission-level modeling and simulation and Operations Analysis principles.
  • Bachelor's degree in engineering, mathematics, operations research, computer science, data science, or a similar field.
  • Knowledge of modeling and simulation methodologies and tools (i.e., AFSIM, Suppressor, or EADSIM).
  • Familiarization with developing experimental designs, executing study plans, and constructing scenario elements.
  • Experience with object-oriented programming and principles.
  • Experience conducting data analytics using various tools.
  • Experience with statistics and their application in Monte Carlo simulations.
  • Experience leading study or project teams for day-to-day tasking, monitoring progress, and producing a final result.
  • Experience in research using IC or other digital source documentation.
  • Significant experience working with and presenting to customers, in particular with the US DoD, IC, or Federal Law Enforcement.
  • Basic knowledge of or special interest in military operations.

Desired Qualifications
  • Significant experience with modeling and simulation methodologies and tools.
  • Experience with data visualization or visual communications.
  • Experience with ancillary disciplines such as radar operations, weapons systems, satellites, etc.
  • Specific domain experience with space technology and/or Air Force systems.
  • Master's degree in engineering, mathematics, operations research, computer science, data science, or a similar field.
  • Software development experience.
  • Project management experience.
  • Personnel management experience.

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