Build, mentor, and lead a high-performing team of optimization engineers and quantitative specialists, fostering technical excellence, collaboration, accountability, and strong software engineering practices.
- Lead the design and implementation of mathematical models and algorithms using linear programming, mixed-integer programming, constraint programming, combinatorial optimization, and heuristic methods.
- Deliver reliable, scalable optimization solutions using Python and tools such as Google OR-Tools, Gurobi, or CPLEX, integrating them into enterprise systems and automated workflows.
- Partner with AI and Automation Engineering, Data Engineering, and business stakeholders to identify opportunities, define requirements, and operationalize algorithmic decision-making.
- Prioritize initiatives based on business value and technical feasibility, measure outcomes, and establish a roadmap for reusable optimization capabilities that advance Crane’s strategy as an algorithmically driven logistics organization.
- Bachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related quantitative field
- Advanced degree in a relevant quantitative discipline
- Nice to have: logistics
- Nice to have: transportation
- Nice to have: supply chain
- Quarterly Incentive Plan
- 136 hours of Paid Time Off (17 days/year)
- Excellent Medical, Dental and Vision benefits
- Tuition Reimbursement
- Employee Referral Bonuses
