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Modeling Simulation Analyst Jobs in Pittsburgh, PA

Lab37

Senior Simulation Engineer

Pittsburgh, PA · On-site

Working proficiency in Python and SQL sufficient to build, analyze, and maintain simulation models ... and tooling. * Ability to partner directly with operations, manufacturing, hardware, and robotics ...

Lab37

Senior Simulation Engineer

Pittsburgh, PA · On-site

Working proficiency in Python and SQL sufficient to build, analyze, and maintain simulation models ... and tooling. * Ability to partner directly with operations, manufacturing, hardware, and robotics ...

Lab37

Senior Simulation Engineer

Pittsburgh, PA · On-site

Working proficiency in Python and SQL sufficient to build, analyze, and maintain simulation models ... and tooling. * Ability to partner directly with operations, manufacturing, hardware, and robotics ...

Eaton

Power System Modeling Principal Engineer

PA · On-site

$180K - $225K/yr

Rigorous multifidelity modeling-spanning conceptual architecture through EMTgrade simulation ... EMT simulation, system-level analysis in converter-dominated architectures. Preferred ...

Eaton

Lead Mechanical Design Engineer

PA · On-site

$97K - $143K/yr

... modeling, simulation, analysis, drawing release, testing plan creation, test review, and coordinate with internal and third-party compliance (UL and CSA). • Ensure project prototyping budget and ...

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All JobsModeling Simulation Analyst JobsModeling Simulation Analyst Jobs in Pittsburgh, PA

Modeling Simulation Analyst information

See Pittsburgh, PA salary details

$37.9K

$98.3K

$139.8K

How much do modeling simulation analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for modeling simulation analyst in Pittsburgh, PA is $98,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,200.00 and $125,700.00 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 are popular job titles related to Modeling Simulation Analyst jobs in Pittsburgh, PA?

For Modeling Simulation Analyst jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Modeling Simulation Analyst jobs in Pittsburgh, PA look for?

The top searched job categories for Modeling Simulation Analyst jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Modeling Simulation Analyst jobs?

Cities near Pittsburgh, PA with the most Modeling Simulation Analyst job openings:

Modeling Simulation Analyst jobs near you

Senior Simulation Engineer

Lab37

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Who we are
Lab37 Roboticsis a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our industry.
About the role
Lab37 is hiring an industrial engineer specializing in discrete-event simulation to optimize robotic food-production systems. You will model end-to-end production flow (including equipment, labor, material movement, queues, capacity, and operating policies) to identify bottlenecks, evaluate system designs, and guide capital and operational decisions. Beginning with our Bowl Builder and expanding across the full kitchen, your models will help teams understand tradeoffs and make confident decisions about what to build next.
You will own the technical direction for industrial-engineering simulation at Lab37, including choosing tools, setting modeling standards, conducting time studies, characterizing empirical inputs, validating models against operating data, and integrating simulation into product and operations planning. Working closely with our hardware, robotics, and operations teams in Pittsburgh, you will turn complex physical systems into trusted decision-making tools. This is a senior/staff-level individual contributor role with the opportunity to establish a capability central to how Lab37 designs, tests, deploys, and operates its systems.
What you'll do
Industrial engineering and simulation
  • Build discrete-event simulation models of the Bowl Builder and broader kitchen systems, representing equipment, labor, material flow, queues, buffers, failures, and operating policies under realistic demand.
  • Map production processes, conduct time studies, and characterize stochastic inputs-including order arrivals, cycle and setup times, failures and repairs, driver arrivals, demand, and labor variability-from operational data.
  • Extend models from a single robot to end-to-end, multi-station kitchen flow, including prep, fulfillment, labor, material movement, queues, and buffers.
  • Evaluate commercial platforms such as AnyLogic and Simio alongside SimPy, Arena, and in-house approaches; consolidate existing efforts and establish modeling standards.
  • Validate models against operational results and telemetry, including known gaps in sensor fidelity, so predictions are accurate and trusted enough to guide decisions.

What-if analysis and decision support
  • Conduct capacity planning, bottleneck analysis, line balancing, equipment sizing, and facility-layout studies.
  • Evaluate workflow, staffing, shift, buffer, and operating-policy alternatives that are costly or risky to test live, and set performance requirements for proposed robots and modules.
  • Quantify throughput, cycle time, work in process, utilization, yield, downtime, service level, and cost tradeoffs; use the results to recommend kitchen configurations and process improvements.

Cross-functional collaboration
  • Partner closely with operations, manufacturing, hardware, and robotics engineering to ground models in how systems actually behave and feed results back into design and operating decisions.
  • Translate simulation and industrial-engineering findings into clear, decision-ready recommendations.
  • Communicate complex modeling to technical and non-technical stakeholders, with explicit assumptions, uncertainty, and operational implications.

What we are looking for
  • Bachelor's or advanced degree in Industrial Engineering or Operations Research is required; related quantitative degrees considered with substantial operations-simulation experience.
  • 3+ years of relevant experience in industrial engineering, operations research, manufacturing systems, or discrete-event simulation.
  • Hands-on discrete-event simulation experience (e.g., AnyLogic, Simio, SimPy, Arena, or custom engines), plus deep knowledge of production systems, process flow, queueing, capacity analysis, line balancing, time studies, and design of experiments. This is the core of the role.
  • Track record of models that drove equipment, process, facility, staffing, or operational decisions.
  • Ability to model complex, constraint-driven production systems end to end and validate them against imperfect real-world data.
  • Working proficiency in Python and SQL sufficient to build, analyze, and maintain simulation models and tooling.
  • Ability to partner directly with operations, manufacturing, hardware, and robotics engineers and communicate assumptions, uncertainty, and recommendations.

Desirable Skills
  • Experience applying industrial-engineering methods in manufacturing, automation, fulfillment, food production, or other high-throughput operations.
  • Experience building digital twins of physical production or manufacturing systems.
  • Experience with facility layout, material handling, labor modeling, staffing, or ergonomic analysis.
  • Experience working with real-time operational or telemetry data in production environments.
  • Experience in food service, on-demand delivery, or just-in-time manufacturing systems.

Why join us
  • Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
  • Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery.
  • Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success.

What else you need to know
This role is based in our Pittsburgh office. As a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That's why all of our office-based teams work onsite, five days a week.
The base salary range for this role is $158,000 - $218,000 per year.
Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.
Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.
Benefits Summary (USA Full-Time Exempt Employees):
  • Medical, dental, and vision insurance (multiple plans, incl. HSA options).
  • Company-paid life and disability insurance (short- and long-term).
  • Voluntary insurance: accident, critical illness, hospital indemnity.
  • Optional supplemental life insurance for self, spouse, and children.
  • Pet insurance discount.
  • 401(k).
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
  • Time Off policies:
    • Discretionary vacation days
    • 8 paid holidays per year
    • Paid sick time
    • Paid Bereavement leave
    • Paid Parental Leave

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.
Ready to join us as we serve those who serve others?
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