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Modeling Simulation Analyst Jobs in Secaucus, NJ

Simulation Engineer

New York, NY · On-site

$250K - $800K/yr

Researchers prove out how to synthesize an audience, model a world, predict responses, score ... Create the calculation, analysis, and publication layers that turn raw agent output into the ...

... models for airflow in various kitchen appliances. Collaborate with product design teams to integrate simulation results into product development. Conduct tests and analyze data to evaluate ...

... models for airflow in various kitchen appliances. • Collaborate with product design teams to integrate simulation results into product development. • Conduct tests and analyze data to evaluate ...

Proven research expertise in corrosion modeling and simulation. * Proven research expertise in analysis of experimental data. * Familiarity with corrosion mitigation or material selection standards.

The role focuses on research, prototyping and evaluation of AI/ML-driven analytics to expedite MSA including development of surrogate models to reduce simulation run times. The role requires a deep ...

The role focuses on research, prototyping and evaluation of AI/ML-driven analytics to expedite MSA including development of surrogate models to reduce simulation run times. The role requires a deep ...

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Modeling Simulation Analyst information

See Secaucus, NJ salary details

$39.7K

$102.9K

$146.4K

How much do modeling simulation analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for modeling simulation analyst in Secaucus, NJ is $102,945.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $131,700.00 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 Secaucus, NJ are hiring for Modeling Simulation Analyst jobs?

Cities near Secaucus, NJ with the most Modeling Simulation Analyst job openings:

Industrial Engineer - Modeling & Optimization

Corning Inc.

Manhattan, NY • On-site

$102.85 - $141.42/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

87th of 543 rated manufacturers


Job description

Industrial Engineer – Modeling & Optimization

Location: Painted Post, NY, Erwin Park Center

Company: Corning

This position supports a corporate engineering team that helps Corning sites solve complex operational challenges using mathematical modeling, simulation, optimization, and Python-based tools. While the role is part of a broader engineering group, this person will be the team’s primary resource for this specialized modeling work and will help expand how these tools are used across the organization. The work directly influences decisions tied to capacity, cost, process flow, resource planning, and operational performance across multiple businesses and locations. It is a strong fit for someone who wants both technical depth and the opportunity to help shape a growing capability.

This role is primarily onsite and involves approximately 50% domestic travel. Travel levels may vary based on project needs and phases. Relocation assistance is available.

Key Responsibilities
  • Develop and apply mathematical programming, simulation, and cost models to solve business and engineering problems
  • Analyze process flows, resource allocation, production planning, and operational data to identify improvement opportunities
  • Travel to Corning sites to understand processes, gather inputs, and translate real-world operations into model assumptions and recommendations
  • Build interactive tools and web-based applications in Python to support analysis, visualization, and decision-making
  • Work with cross-functional stakeholders to frame problems, gather requirements, and communicate results to technical and non-technical audiences
  • Document modeling approaches, assumptions, and results to support repeatability and knowledge sharing
  • Help deploy optimization, simulation, and cost-modeling tools into business use
Minimum Qualifications and Skills
  • Bachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, or a related quantitative discipline
  • Relevant experience applying mathematical modeling, simulation, optimization, and industrial engineering or operations research methods to solve business or engineering problems. Candidates may qualify through a bachelor’s degree with 5+ years of relevant professional experience, a master’s degree with 4+ years of relevant experience, or a PhD with 2+ years of relevant applied experience. Relevant post‑doctoral or industrial research experience may also be considered
  • Hands‑on experience building and using mathematical models and simulation models in a professional or applied research setting
  • Experience with optimization/modeling tools such as CPLEX, Gurobi, Pyomo, GLPK, or similar tools
  • Experience with simulation/modeling tools such as AnyLogic, FlexSim, SimPy, or similar platforms
  • Strong Python capability for data processing, analysis, and application or tool development, including experience with libraries such as Polars, Streamlit, Altair, or similar tools
  • Ability to communicate technical concepts clearly to technical and non‑technical audiences and work effectively across teams to drive projects forward
Preferred Qualifications and Skills
  • Master’s degree preferred; PhD may also be a strong fit
  • Experience with data preparation, workflow automation, and data visualization
  • Exposure to manufacturing, supply chain, industrial operations, or commercial analytics
  • Experience building interactive dashboards, web-based tools, or decision‑support applications for end users
  • Lean or traditional operational industrial engineering experience is helpful, but not required

This position does not support immigration sponsorship.

Salary range: $102,848.00 – $141,416.00 (assuming full‑time status). Starting pay for the successful applicant is dependent on a variety of job‑related factors, including but not limited to geographic location, market demands, experience, training, and education.

A job that shapes a life.

Corning offers you the total package.

  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
  • As part of our commitment to your financial well‑being, we provide a 100% company‑paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning’s total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
  • Our health and well‑being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.
  • Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That’s why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com .

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