PR-$47.20
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
What would you consider to be the top three non-negotiable skills that you would be looking for when reviewing candidate resumes? Simio, DataBricks, SQL