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Modeling Simulation Analyst Jobs in Mitchell, IN

... modeling and analysis tools (e.g., STK, NGTS, Builder, or other mission-level frameworks). • Analyze simulation outputs and provide actionable insights, technical reports, and briefings to ...

... SysML models through AFSIM simulations to analysis reports and T&E artifacts Required ... Qualifications: * Bachelor's degree in Engineering, Physics, Operations Research, or related ...

Construct, modify, and perform statistical/analytical investigations with mathematical/computer simulation models supporting EMSO (SOW 4.6.3). * Provide R&D support defining and using ...

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Construct, modify, and perform statistical/analytical investigations with mathematical/computer simulation models supporting EMSO (SOW 4.6.3). * Provide R&D support defining and using ...

Showing results 21-40

Modeling Simulation Analyst information

See Mitchell, IN salary details

$37.5K

$97.3K

$138.3K

How much do modeling simulation analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for modeling simulation analyst in Mitchell, IN is $97,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,400.00 and $124,400.00 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 cities near Mitchell, IN are hiring for Modeling Simulation Analyst jobs?

Cities near Mitchell, IN with the most Modeling Simulation Analyst job openings:

Infographic showing various Modeling Simulation Analyst job openings in Mitchell, IN as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $97,282 per year, or $46.8 per hour.

Simulation Engineer - Advanced Framework for Simulation and Integration Modeling (AFSIM)

Scientific Research Corporation

Crane, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

Description
The AFSIM Simulation Engineer develops, executes, and analyzes physics-based mission simulations using the Advanced Framework for Simulation and Integration Modeling (AFSIM). This role supports mission effectiveness assessments, experimentation, and Live, Virtual, and Constructive (LVC) events by implementing MBSE-derived SysML views (requirements, functional threads, physical architectures, and interfaces) as AFSIM inputs to evaluate sensor-to-shooter kill chains and operational effects, including EMSO-relevant influences.
  • Developing, modifying, and executing AFSIM models derived from MBSE SysML artifacts, including mission threads, functional flows, system architectures, and interface definitions
  • Analyzing blue vs. red kill chains, system interactions, and mission-level effects across integrated sensor, shooter, and command elements
  • Translating MBSE handoff artifacts (requirements allocations, activity diagrams, block definitions, internal block diagrams) into executable AFSIM entities, behaviors, and interactions
  • Integrating sensor, RF, EW, weapon, and platform models consistent with MBSE-defined system boundaries, interfaces, and architectural assumptions
  • Supporting experimentation, test events, and LVC exercises focused on validating system architectures, mission threads, and kill-chain performance
  • Conducting verification and validation of AFSIM models against MBSE-defined assumptions, constraints, and system definitions
  • Performing statistical and analytical assessments of mission outcomes and kill-chain performance drivers, producing analysis products that trace back to system design and architecture decisions
  • Collaborating with MBSE, LVC, and other modeling and simulation teams to maintain digital thread continuity from SysML models through AFSIM simulations to analysis reports and T&E artifacts

FILLING THIS POSITION IS CONTINGENT UPON FUNDING
#LI-JC1
Requirements
  • Bachelor's degree in engineering, physics, operations research, or related technical field
  • Five or more years of modeling and simulation experience supporting system-level or mission-level analysis
  • Hands-on experience developing and executing AFSIM models
  • Strong understanding of mission-level analysis, system architectures, and kill-chain dynamics
  • Ability to interpret and analyze large simulation datasets and trace results back to system requirements and architecture drivers

Desired Skills
  • Experience supporting DoD platforms or hardware-centric mission systems within an MBSE-driven development environment
  • Experience executing sensor-to-shooter or effects-based kill-chain analysis tied directly to system architecture trades
  • Experience supporting DoD test, evaluation, or experimentation activities using MBSE-informed scenarios and architectures
  • Programming experience in Python, C++, or MATLAB

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.