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Modeler Jobs in Indiana (NOW HIRING)

Pae

Modeling & Simulation (M&S) Developer

Crane, IN

$120K - $150K/yr

Integrate modeling elements into M&S toolsets that predict system-of-systems performance * Generate design documentation and maintain version control * Validate that M&S toolsets produce realistic ...

Amentum

Modeling & Simulation (M&S) Developer

Crane, IN · On-site

$120K - $150K/yr

Integrate modeling elements into M&S toolsets that predict system-of-systems performance * Generate design documentation and maintain version control * Validate that M&S toolsets produce realistic ...

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How much do modeler jobs pay per hour?

As of Jul 12, 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 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.

What is a modeler's job?

A modeler creates and develops 3D models for use in industries such as gaming, film, architecture, or product design. They use software like Maya, Blender, or 3ds Max and often collaborate with artists, designers, and engineers to ensure models meet project specifications. Strong skills in geometry, attention to detail, and understanding of design principles are essential for this role.

How much does a modeler make?

Modelers typically earn a median annual salary ranging from $50,000 to $100,000, depending on experience, industry, and location. Skilled modelers with expertise in 3D software like Maya or Blender and certifications can earn higher salaries, especially in fields such as gaming, film, or product design.

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 kind of jobs do models do?

Modelers are professionals who create digital or physical representations of objects, environments, or systems, often using software like CAD or 3D modeling tools. They work in industries such as video game development, film, architecture, and engineering, focusing on designing, visualizing, and refining models for various applications.

Is modeling a good paying job?

Modeling can be a well-paying career, especially for top-tier models in fashion, commercial, or runway work, with earnings varying based on experience, market, and client demand. Successful models often supplement income through agency representation, branding, and endorsements. However, income levels can be inconsistent and competitive, requiring strong networking and portfolio development.

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.
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Modeler jobs near you
Sr Model-Based Systems Engineer

Sr Model-Based Systems Engineer

Scientific Research Corporation

Crane, IN • On-site

$104K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Description
The Senior MBSE Engineer applies Model-Based Systems Engineering methodologies to complex DoD platforms and hardware-centric mission systems composed of sensors, payloads, communications, processing, and supporting software elements. This role supports platform architecture development, system engineering technical reviews (SETR), and digital thread traceability from mission needs through system verification and validation, with emphasis on enabling and assessing end-to-end kill-chain performance, including EMSO-relevant capabilities.
  • Developing and maintaining MBSE products supporting DoD platform architecture definition, mission engineering, and kill-chain analysis in support of SETR activities
  • Creating and managing SysML/UML models capturing system requirements, functional behavior, physical architectures, hardware interfaces, and kill-chain functional threads
  • Generating SETR artifacts including platform architecture views, functional threads, interface definitions, kill-chain mappings, and verification mappings
  • Developing and managing MBSE meta-chain reporting templates supporting platform-level digital thread traceability, including kill-chain dependencies and performance drivers
  • Performing data management (DM) and configuration management (CM) of MBSE artifacts across model repositories
  • Integrating MBSE products with hardware-centric modeling, simulation, and analysis environments, supporting kill-chain assessment
  • Supporting platform and mission assessments within Live, Virtual, and Constructive (LVC) and operational test environments
  • Collaborating with hardware, software, integration, and test teams to ensure model fidelity, platform integration readiness, interoperability, and kill-chain coherence

FILLING THIS POSITION IS CONTINGENT UPON FUNDING
#LI-JC1
Requirements
  • Bachelor's degree in engineering or STEM discipline from an ABET-accredited institution
  • Seven or more years of systems engineering experience supporting DoD platforms or hardware-intensive systems using MBSE
  • Expert knowledge of MBSE methodologies applied to platform-level and hardware-centric system architectures, including mission and kill-chain analysis
  • Proficiency with MBSE tools such as Cameo Systems Modeler, Rational Rhapsody, DOORS, and Teamwork Cloud
  • Strong experience producing platform architecture and SETR artifacts
  • Experience with system-level requirements traceability, verification planning, and mission thread development

Desired Skills
  • Experience supporting DoD platforms, mission systems, or hardware-centric defense programs with kill-chain or mission-thread focus
  • Experience modeling physical architectures, hardware interfaces, and system integration boundaries impacting kill-chain performance
  • Familiarity with integrating MBSE products with platform development, integration, and test activities supporting end-to-end mission execution

Clearance Information
SRC IS A CONTRACTOR FOR THE U.S. GOVERNMENT, THIS POSITION WILL REQUIRE U.S. CITIZENSHIP AS WELL AS, A U.S. GOVERNMENT SECURITY CLEARANCE AT THE SECRET LEVEL WITH TOP SECRET / SCI ELIGIBILITY
Travel Requirements
  • No travel required

About Us
Scientific Research Corporation is an advanced information technology and engineering company that provides innovative products and services to government and private industry, as well as independent institutions. At the core of our capabilities is a seasoned team of highly skilled engineers and scientists with multidisciplinary backgrounds. This team is challenged daily to provide cutting edge technology solutions to our clients.
SRC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with a company match, life insurance, vacation and sick paid time off accruals with amounts increasing based on role and years of service, 11 paid holidays, tuition reimbursement, and a work environment that encourages excellence and more. For positions requiring a security clearance, selected applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
EEO
Scientific Research Corporation is an equal opportunity employer that does not discriminate in employment.
All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other protected characteristic under federal, state or local law.
Scientific Research Corporation endeavors to make www.scires.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact jobs@scires.com for assistance. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

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