Freight Network Optimizer: Data-Driven Logistics Engineer

GreenGasUSA Holdings, LLC; Lugoff (SC); On-site; USD 95,000 - 135,000; Full time

Job summary

Mobius Renewables is seeking a data-driven Trucking Logistics Engineer to design and optimize regional and national freight networks. You will evaluate lane performance, identify cost-saving opportunities, and leverage TMS tools to build predictive routing models.

You will collaborate with fleet operations, safety compliance, and dispatch teams to maximize asset utilization and on-time delivery while applying Lean Six Sigma to improve terminal and cross-docking efficiency.

Qualifications

• SQL querying and Python/R programming for data analysis.
• Experience with transportation engineering and freight network analytics.
• Familiarity with DOT HOS regulations, ELD compliance, CSA scoring.

Responsibilities

• Network optimization: design models to evaluate lane profitability and route patterns.
• Freight data analytics: extract and interpret large freight datasets to identify bottlenecks.
• Dashboard development: build dashboards in Tableau or Power BI to visualize metrics like cost-per-mile and driver utilization.
• Capacity planning: forecast seasonal freight volumes and align assets with demand.
• TMS and telemetry: act as admin for the TMS and driver telematics hardware.
• Process improvement: apply Lean Six Sigma to reduce waste in terminal operations and cross-docking.
• Vendor & carrier management: negotiate spot rates and scale capacity with 3PLs and owner-operators.

Skills

SQL

Python

Excel

Root-cause analysis

Data analysis

Education

Bachelor’s degree in Industrial Engineering, Supply Chain Management, Logistics, Operations Research, or a highly quantitative field

Tools

SAP TM

Oracle OTM

Blue Yonder

Job description

Mobius Renewables is seeking a data-driven Trucking Logistics Engineer to design and optimize regional and national freight networks. You will evaluate lane performance, identify cost-saving opportunities, and leverage TMS tools to build predictive routing models.

You will collaborate with fleet operations, safety compliance, and dispatch teams to maximize asset utilization and on-time delivery while applying Lean Six Sigma to improve terminal and cross-docking efficiency.