Simulation Engineer

Mason-Grey is hiring a Simulation Scientist / Simulation Engineer with expertise in discrete event simulation modelling.

POSITION:           Simulation Scientist / Digital Twin Engineer

POSTING: 72551 (JNJNJP00072551)

LOCATION:         Raritan NJ*

*Hybrid – 3 days onsite, 2 days remote

COMPENSATION: The hourly rate is a maximum range of $43.00 to $47.00. This will annualize to an estimated range of $86,000 to $94,000 based on 40 hour work weeks and 50 of 52 working weeks per year.  OT is payable at 1.5X base rate and will add to the overall compensation based on actual hours worked.  

JOB DESCRIPTION/EXPERIENCE: 

We are seeking a Simulation Scientist with at least 3 years of experience using Simio to develop, validate, and deploy discrete-event simulation models that support operational decision-making, process optimization, and capacity planning. The successful candidate will leverage simulation, data analytics, and digital technologies to evaluate complex systems, identify improvement opportunities, and communicate actionable insights to stakeholders. Relevant experience with discrete-event simulation tools such as SIMIO.

Key Responsibilities:

• Develop and maintain Simio models for manufacturing, supply chain, or operational processes.
• Analyze simulation results to identify bottlenecks, optimize resource utilization, and support business decisions.
• Extract, transform, and analyze data using SQL and Databricks.
• Collaborate with cross-functional teams to define simulation requirements and translate business challenges into analytical solutions.
• Prepare technical reports, visualizations, and presentations to communicate findings and recommendations.

Qualifications:

• Bachelor's or Master's degree in Engineering, Operations Research, Data Science, Applied Mathematics, or a related field.
• 3 years of hands-on experience with Simio.
• Working knowledge of Databricks, SQL, and data analysis workflows.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to work in multidisciplinary teams.

Preferred:

• Experience with Python, process optimization, digital twins, or manufacturing systems analysis.
• Familiarity with cloud-based analytics and data engineering practices

All candidates shall be legally authorized to work in the US and are subject to background screening, drug testing and verification of legal status in the United States using eVerify. 

At Mason-Grey Corporation, we deliver smart engineering solutions to American process industries that keep the world moving—energy, metals, plastics, biotech, pharmaceuticals, and more. From coast to coast, we support Fortune 500 giants and mid-sized innovators alike, tackling complex process projects. Our team lives and works nationwide from Massachusetts to California. Proudly headquartered in Atlanta, Georgia, Mason-Grey is the trusted partner behind some of America’s most critical industrial operations.