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Simulation Modeling Python Jobs (NOW HIRING)

The Simulation Engineer will be responsible for developing simulation models and conducting ... Experience with scripting and/or programming languages (e.g., Python, C++) * Working knowledge of ...

The Simulation Engineer will be responsible for developing simulation models and conducting ... Experience with scripting and/or programming languages (e.g., Python, C++) * Working knowledge of ...

Develop, validate, and deploy discrete-event simulation models for intralogistics systems including ... Proficiency in programming languages such as Python, Java, C++, or similar * Strong data analysis ...

Simulation Engineer

Moorestown, NJ · On-site

$100K - $130K/yr

The Simulation Engineer will be responsible for developing simulation models and conducting ... Experience with scripting and/or programming languages (e.g., Python, C++) * Working knowledge of ...

Modeling & Simulation Analyst Program Summary KBR's Missile, Aviation, and Ground Systems (MAGS ... Understanding of programming languages such as Structured Query Language (SQL), Python, and/or ...

Modeling & Simulation Analyst Program Summary KBR's Missile, Aviation, and Ground Systems (MAGS ... Understanding of programming languages such as Structured Query Language (SQL), Python, and/or ...

Proficiency or working experience with Python and/or MATLAB/Simulink for model development, analysis, and simulation is a plus. * Bachelor's degree, or equivalent practical experience, in Engineering ...

Proficiency or working experience with Python and/or MATLAB/Simulink for model development, analysis, and simulation is a plus. * Bachelor's degree, or equivalent practical experience, in Engineering ...

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Simulation Modeling Python information

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How much do simulation modeling python jobs pay per year?

As of Jun 6, 2026, the average yearly pay for simulation modeling python in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What is simulation modeling in Python?

Simulation modeling in Python involves using the Python programming language to create models that mimic real-world systems or processes. These models allow users to experiment with different variables and scenarios to predict outcomes, optimize performance, and understand complex systems without real-world risks or costs. Python is popular for simulation modeling due to its readability, extensive libraries like SimPy and NumPy, and strong community support. Simulation modeling is used in fields such as engineering, logistics, healthcare, and finance to analyze systems and make data-driven decisions.

What are some common challenges faced when developing simulation models in Python, and how can they be addressed in a collaborative team environment?

Simulation modeling in Python often involves handling complex systems, large datasets, and ensuring model accuracy, which can present challenges such as debugging intricate code, validating results, and optimizing performance. Collaborating in a team requires effective communication and version control practices to manage code changes and integrate different model components. Using tools like Git for version control, establishing clear documentation standards, and conducting regular code reviews can help address these challenges, streamline development, and promote knowledge sharing among team members.

What are the key skills and qualifications needed to thrive as a Simulation Modeling Python Specialist, and why are they important?

To excel in Simulation Modeling with Python, you need a solid background in mathematics, statistics, and programming, typically supported by a degree in engineering, computer science, or a related field. Expertise in Python libraries such as NumPy, SciPy, SimPy, and experience with data visualization tools are commonly required, along with familiarity in simulation frameworks and possibly certifications in data science or analytics. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex simulation outcomes into actionable insights. These competencies enable professionals to design accurate models, interpret results effectively, and support data-driven decision-making across various industries.

What is the difference between Simulation Modeling Python vs Data Analyst?

AspectSimulation Modeling PythonData Analyst
Required SkillsPython programming, simulation techniques, mathematical modelingData analysis, Excel, SQL, statistical tools
Work EnvironmentResearch labs, engineering firms, tech companiesBusiness, finance, marketing departments
CertificationsPython certifications, modeling coursesData analysis certifications, SQL certifications
Industry UsageSimulation of systems, process optimizationData reporting, trend analysis, decision support

Simulation Modeling Python focuses on creating models and simulations using Python to analyze complex systems, often in engineering or research contexts. Data Analysts interpret data to inform business decisions, utilizing statistical tools and data visualization. While both roles require analytical skills, Simulation Modeling Python emphasizes technical modeling expertise, whereas Data Analysts focus on data interpretation and reporting.

Infographic showing various Simulation Modeling Python job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.
Modeling and Simulation Specialist with Security Clearance

Modeling and Simulation Specialist with Security Clearance

MANTECH

Crane, IN

Other

Posted 19 days ago


ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

31st of 186 rated software companies


Job description

MANTECH seeks a motivated, career and customer-oriented Modeling and Simulation Specialist to join our team in Crane, Indiana. This is an onsite position. We are seeking an enthusiastic and forward-thinking member to join our team and be at the forefront of innovation. As a core member, you will assist in the research & design, engineering, integration, testing, training, logistics, laboratory research, field engineering, and acquisition and operations analysis in support of a variety of Navy and Marine Corps programs and projects with a focus on defensive cyber technologies, mission assurance, and resilience capabilities for the tactical network environment. Your effort will go towards dramatically increasing the warfighter's effectiveness. If you enjoy working on a highly collaborative and dynamic team and want to make a difference for the warfighter, then we would love to have you on our team! Responsibilities Include but are not limited to: * Expert in modeling and simulation functions or operations such as, but not limited to exercises, plans, coordination, demonstrations, and instruction in the fields such as, but not limited to health, environmental, transportation, law enforcement, military, and civil agencies.
* Provides supervision and guidance on the proper operation and use of simulation models and exercises.
* May support live, constructive, or virtual training.
* Possesses knowledge of modeling and simulation functions or operations including, but not limited to exercises, plans, coordination, demonstrations, and instruction in the fields such as, but not limited to health, environmental, transportation, law enforcement, military, and civil agencies.
* Provides supervision and guidance on the proper operation and use of simulation models and exercises.
* Prepare and present comprehensive technical documentation, reports, and presentations on M&S activities and findings.
* Evaluate and recommend new M&S technologies and methodologies that would enhance current capabilities and provide higher fidelity results.
* Lead data collection, analysis, and validation efforts to ensure high fidelity and accuracy of simulation models Required Qualifications: * BA/BS degree (Permitted experience exchange: High School and 6 years of additional experience or Associate's Degree and 4 years of additional experience may be exchanged in lieu of a required Bachelor's degree)
* 12+ years of experience in the field or in a related area. Familiar with a variety of the field's concepts, practices, and procedures.
* Experience using industry accepted methods and tools used in the analyses, to include recurring technology assessment.
* Basic application knowledge in modeling and simulation functions or operations such as plans, coordination, exercises, demonstrations, and instruction.
* Proficiency in Microsoft Excel, PowerPoint, Word, and Outlook Desired Qualifications: * Masters Degree
* Experience with configuration management tools: GIT, Sourcesafe, ClearCase, BitBucket, GitHub
* Experience with the following software tools: MATLAB/Simulink, Python, Ansys STK, SolidEdge/SolidWorks (or other CAD tools)
* Experience writing, reviewing, and maintaining new or existing software requirements, technical documentation such as user manuals, product specifications, and training materials Clearance Requirements: * Must have a current/active TS/SCI Physical Requirements: * The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations

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