Freight Optimization Engineer

GreenGas; Lugoff (SC); On-site; USD 90,000 - 130,000; Full time

Job summary

Mobius Renewables is seeking a data-driven Trucking Logistics Engineer to design and optimize regional and national freight networks, evaluate lane performance, and build predictive routing models using SQL, Python, and advanced TMS tools.

You will collaborate with fleet operations, safety compliance, and dispatch teams to ensure maximum asset utilization and top-tier on-time delivery performance, leveraging dashboards in Tableau/Power BI.

Qualifications

• Bachelor’s degree in Industrial Engineering, Supply Chain Management, Logistics, Operations Research, or a highly quantitative field.
• 3+ years of experience in transportation engineering, fleet logistics, or freight network analytics.
• Hazmat certification and/or experience.
• Proficiency with leading TMS platforms (SAP TM, Oracle OTM, Blue Yonder) and routing optimization tools.
• Advanced SQL querying, Python/R for data analysis, and Microsoft Excel (macros, pivot tables).
• Knowledge of DOT Hours of Service (HOS) regulations, ELD compliance, CSA scoring, and asset-based trucking constraints.
• Strong root-cause analysis skills with a track record of reducing freight cost-per-mile or increasing trailer utilization.

Responsibilities

• Network optimization: Design and implement mathematical models to evaluate lane profitability, backhaul opportunities, and multi-stop patterns.
• Freight data analytics: Extract, clean, and interpret large freight datasets using SQL/Python to identify bottlenecks and fuel inefficiencies.
• Dashboard development: Build and maintain dashboards in Tableau or Power BI to visualize cost-per-mile, empty miles, and driver utilization.
• Capacity planning: Forecast seasonal freight volumes and align assets with regional demand fluctuations.
• Technology integration: Serve as admin or super-user for the TMS and driver telematics hardware.
• Process improvement: Apply Lean Six Sigma to reduce waste in terminals, cross-docking, and driver workflows.
• Vendor & carrier management: Work with 3PLs and owner-operators to negotiate rates and scale capacity.

Skills

SQL

Python

Excel

Tableau

Power BI

Lean Six Sigma

Education

Bachelor’s degree in Industrial Engineering or related 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, evaluate lane performance, and build predictive routing models using SQL, Python, and advanced TMS tools.

You will collaborate with fleet operations, safety compliance, and dispatch teams to ensure maximum asset utilization and top-tier on-time delivery performance, leveraging dashboards in Tableau/Power BI.