Staff Research Scientist
- Build mathematical models to estimate system throughput, capacity, and performance (e.g., cases/hour, cycle times, asset utilization)
- Translate on-site observations into structured models (e.g., timing operations, identifying constraints, estimating flow)
- Support customer solutioning and pre-sales by sizing systems and validating assumptions
- Work alongside leadership to pressure-test system design in real time
- Bridge intuitive reasoning with structured modeling (e.g., “back-of-the-envelope” → scalable frameworks)
- Identify system bottlenecks (e.g., congestion, latency, resource constraints)
- Develop simple tools/templates to help teams consistently model and size systems
- Clearly communicate outputs to both technical and non-technical stakeholders
- Background in Industrial Engineering, Mechanical Engineering, Applied Mathematics, or similar. PhD preferred.
- Minimum 7 years of experience in manufacturing, automation, or logistics environments.
- Throughput, capacity, or flow modeling
- Strong intuition for cycle times, bottlenecks, and system constraint, queueing / congestion concepts
- Ability to build models from first principle, imperfect or limited data
- Experience with tools like Python, Excel, or simulation tools is helpful but not required
- Excellent communication skills -- can explain complex ideas simply & comfortable presenting to leadership and customers
- Up to 30% travel may be required to customer sites and manufacturing locations.
- Employees must have a valid driver’s license and the ability to travel as needed.
- The employee is responsible for owning a credit card and managing expenses to be reimbursed on a biweekly basis.
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