Logistics Engineer

Key Responsibilities

• Develop and maintain supply chain network models to determine optimal warehouse locations, transportation routes, and distribution strategies.
• Evaluate tradeoffs between cost, service, and inventory to recommend optimal logistics configurations.
• Collect, clean, and analyze large logistics datasets (transportation, warehouse, and order data) to identify trends and improvement opportunities.
• Develop and track key performance indicators (KPIs) to measure network and carrier performance.
• Support continuous improvement projects using Lean or Six Sigma methodologies.
• Analyze transportation modes, routing, and carrier performance to identify cost-saving and service-enhancing opportunities.
• Continuously evaluate carrier and route performance to identify improvement opportunities and support strategic sourcing decisions.
• Develop models to simulate shipment flows, demand variability, and capacity utilization.
• Design and evaluate strategies for last-mile delivery, cross-docking, and intermodal optimization.
• Support layout design, slotting analysis, and labor modeling for existing and new distribution centers.
• Use simulation tools to optimize warehouse operations, picking processes, and material flow.
• Partner with operations, IT, procurement, and finance to translate modeling insights into actionable business plans.
• Support technology implementations such as TMS, WMS, and optimization tools through data preparation and system testing.
• Present analytical findings and strategic recommendations to leadership teams.

Requirements

• Bachelor's degree in Industrial Engineering, Supply Chain Management, Operations Research, or a related field.
• 2-7+ years of experience in logistics, supply chain engineering, or network modeling.
• Proficiency with supply chain modeling and route optimization tools.
• Working knowledge of Transportation Management Systems (TMS) and Warehouse Management Systems (WMS).
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Working knowledge of Lean, Six Sigma, or process improvement methodologies.
• Proficiency with Excel, SQL, and visualization tools.
• Knowledge of freight transportation operations, routing principles, and carrier management.
• Excellent communication and cross-functional collaboration skills.