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Modeling Simulation Analyst Jobs in Lexington, SC

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

... models and simulations of unmanned surface vehicles (USVs) * Provide domain knowledge for distributed systems and systems engineering including technical analysis and software development. * Use ...

Familiarity with AI/machine learning applications for parametric estimating, historical data analysis, or probabilistic cost modeling (e.g., Monte Carlo simulation tools, @Risk, Crystal Ball ...

Familiarity with AI/machine learning applications for parametric estimating, historical data analysis, or probabilistic cost modeling (e.g., Monte Carlo simulation tools, @Risk, Crystal Ball ...

... simulation, data mining and other statistical methods with a focus on delivering actionable ... Construct and tune predictive models to explain and understand observed events, forecast expected ...

SolidWorks Tutor

Columbia, SC · Remote

$18 - $40/hr

Deep knowledge of SolidWorks parametric solid modeling, assemblies, drawings, sheet metal, surfacing, weldments, simulation, motion analysis, and design table configurations. Ability to explain ...

Skilled at breaking down physiological system modeling, biomechanical analysis, and medical device ... Adapts instruction using case studies of medical devices, MATLAB simulation exercises, and design ...

Connector Product Design Engineer

Columbia, SC · On-site +1

$119K - $143K/yr

Experience with simulation and analysis tools including FEA, CFD, thermal modeling, or similar technologies. * Experience working closely with manufacturing processes and production environments.

Connector Product Design Engineer

Columbia, SC · On-site +1

$119K - $143K/yr

Experience with simulation and analysis tools including FEA, CFD, thermal modeling, or similar technologies. * Experience working closely with manufacturing processes and production environments.

AP Chemistry Tutor

Columbia, SC · Remote

$18 - $40/hr

Adapts instruction using molecular models, virtual lab simulations, and AP-style free-response practice to support students building from general chemistry toward college-level analytical and ...

Guides students through selecting appropriate statistical tests, using technology for data analysis ... simulations to support undergraduate students across all majors. * Effective Teaching Methods:

Skilled at teaching supply and demand analysis, economic graph construction, and policy evaluation ... Adapts instruction using real-world examples, simulation activities, and graph-drawing practice to ...

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Modeling Simulation Analyst information

See Lexington, SC salary details

$33.4K

$86.7K

$123.3K

How much do modeling simulation analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for modeling simulation analyst in Lexington, SC is $86,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $110,800.00 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 are popular job titles related to Modeling Simulation Analyst jobs in Lexington, SC?

For Modeling Simulation Analyst jobs in Lexington, SC, the most frequently searched job titles are:

What cities near Lexington, SC are hiring for Modeling Simulation Analyst jobs?

Cities near Lexington, SC with the most Modeling Simulation Analyst job openings:

Infographic showing various Modeling Simulation Analyst job openings in Lexington, SC as of July 2026, with employment types broken down into 68% Full Time, 13% Part Time, and 19% Contract. Highlights an 67% Physical, 2% Hybrid, and 31% Remote job distribution, with an average salary of $86,670 per year, or $41.7 per hour.

Autonomous Systems Modeling and Simulation Engineer

Columbia, SC • On-site


Integer

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

261st of 545 rated manufacturers

Good employer

Paid breaks

Uninterrupted breaks


Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

About the role
The modeling and simulation engineer role requires a unique combination of skills that brings together vehicle dynamics expertise and experience producing and delivering modular software solutions. This engineer will develop, maintain, and tune multi-degree-of-freedom models of complex vehicle systems-such as surface and undersea vessels, aircraft, or robotic platforms-that can be used in performance prediction, controls development, and simulation framework creation. The engineer should understand how to identify and select appropriate modeling approaches and fidelity based on use cases and system requirements.
Candidates should be capable of determining physical or hydrodynamic/aerodynamic coefficients based on limited data-through analytical methods, system identification, 3D modeling, or computational fluid dynamics (CFD). They should be experienced in developing and using dynamic models for vehicle maneuvering, control, and performance assessment. The engineer will use models to assess vehicle performance under various operational and degraded conditions and relate those results to higher-level system capabilities.
A successful candidate will have a strong background in general software development as well as model and simulation. This role requires the use of general programming languages to create models that describe a system. The engineer will take the model through the full design lifecycle process: planning, implementation, validation, data processing, and integration into the larger system.
The role involves collaboration across disciplines, working both individually and in concert with other engineers and subject matter experts to connect marine craft dynamics models to models of other domains including power and energy, communication systems, and cyber models. As part of this collaboration, the engineer will be responsible for dashboarding/storyboarding to go from data to system insights and customer business values.
Integer is a science and technology research and development organization. As such, much of our work entails developing novel solutions, working at the edge of what is technically possible, advancing innovation across a range of challenging domains. To achieve internal and customer project goals all candidates must be comfortable conducting independent research, learning new technical concepts, and documenting findings clearly for diverse audiences.
What you'll do
  • U.S. Citizen with the ability to obtain a US DoD Secret clearance.
  • 8+ years of experience within technical field
  • Bachelor's degree in naval architecture, marine engineering, aerospace engineering, mechanical engineering, robotics, machine learning, software engineering, or other similar technical disciplines
  • Experience with physics-based modeling, numerical simulation, and scientific datasets.
  • Understanding of Digital Engineering and Digital Twins
  • Strong data science/analytics background
  • Experience with methodology selection based on the problem/application (potential flow, analytical modeling, high-fidelity modeling).
  • Experience with meshing and discretization problems.
  • Deep experience with Coordinate Frame transformations and strong grasp of dynamics/kinematics
  • Experience with Computational Fluid Dynamics (CFD) modeling and trade-off analysis to determine adequate modeling approach
  • Basic PID and control theory
  • Familiarity with Functional Mock-up Interface Standards
  • Experience with multi-model simulations
  • Proficiency in at least one scientific development programming language (e.g., Python, MATLAB/Simulink)
  • Experience with additional programming languages: Rust and/or C++
  • Experience with scientific computing tools such as NumPy, SciPy, Xarray, MATLAB, or equivalent frameworks
  • Experience verifying and validating models & simulations
  • Familiarity with modern development practices including Git/ADO, testing, CI/CD, code review, and documentation
  • Experience and willingness to work with AI tools to efficiently accelerate development
  • Excellent collaboration and communication skills, with the ability to interface across multidisciplinary teams and external partners

Desired Qualifications
  • Familiarity with systems engineering and practices like MBSE and SysML V2.
  • Deep technical knowledge and modeling and simulation approaches in marine vehicle dynamics and guidance (GNC) algorithms
  • Experience with autopilot design and tuning.
  • Experience applying naval architecture modeling and simulation tools to both surface and subsea vessels.
  • Experience with geospatial data, GIS, environmental modeling, oceanography, underwater acoustics, or acoustic signal processing.
  • Knowledge of autonomy frameworks, control systems, decision-making algorithms, and real-time system constraints in distributed, multi-agent environments.
  • Experience with design of experiments
  • Experience with uncertainty quantification and propagation
  • Experience with data manipulation: filtering, processing, state estimation
  • Experience with dashboarding and data storytelling to translate modeling and simulation results into actionable insights and business value.
  • Experience writing software and manipulating data streams from the sensors of physical systems to update physics-based or data-driven models to reflect the status of the physical system.
  • Graduate degree (M.S./Ph.D.) in a relevant engineering or applied science discipline.
  • Active Secret or higher DoD security clearance.

About Integer Technologies
Integer Technologies is an applied research and product development company founded by scientists and engineers with a passion for protecting freedom with innovation. We perform R&D on next-generation systems and technologies for the Department of Defense and other U.S. Government agencies. We are hardware and software developers with experience transforming research into fieldable technology. Our core portfolio of research includes projects in power & energy systems, unmanned systems (with an emphasis on maritime systems), digital engineering, cyber security, and advanced manufacturing. Our mission is to create a safer world by translating scientific discoveries into reliable products that address urgent national security needs... at the speed of relevance.
Company Benefits
  • Base salaries which exceed local & national industry averages.
  • Year-end performance-based bonuses.
  • 401(k) with company matching that vest immediately.
  • Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and dependents, meaning the Integer standard plan pays 100% of health insurance premiums for your entire family from a well-known national insurer, saving its employees thousands of dollars annually.
  • Relocation assistance available.
  • Paid vacation, sick/personal leave, and holidays.
  • Paid bereavement and parental leave.
  • Hybrid schedule: Mondays and Fridays are optional to work from home or in the office.

Company Perks
  • Startup culture with the stability of a large company. Integer's business plan has years of time phased contracted work, alleviating the would-be risk from a traditional small company.
  • Direct access to company leadership, prioritization of people over process, and a stellar team with a shared desire for personal and professional growth.
  • Friendly atmosphere where people enjoy not only their work and what they're creating but enjoy helping each other as well.

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