Senior Freight Network Architect

Doist; Frisco (TX); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Uber Freight seeks a Lead Logistics Engineer to design, analyze, and optimize complex freight networks at scale. This role sits at the intersection of data, technology, and logistics operations, supporting strategic and tactical decisions through rigorous analysis and collaboration.

The ideal candidate combines freight economics expertise with advanced analytics using SQL, Python, Excel, and GCP, and translates insights into scalable solutions that improve efficiency, service, and profitability

Qualifications

• 7+ years of experience in logistics, transportation, freight brokerage, or supply chain network design.
• Advanced proficiency in SQL and Excel.
• Hands-on experience with Python for data analysis and modeling is a plus.
• Familiarity with optimization methodologies related to routing, capacity planning, and service level tradeoffs.
• Experience working within Google Cloud Platform (GCP) ecosystem.

Responsibilities

• Logistics Engineering & Network Optimization: Analyze and optimize freight routing, capacity utilization, and cost structures across complex transportation networks. Apply optimization techniques to balance cost, capacity, service level, and operational constraints. Identify network inefficiencies and design solutions that improve margin, service reliability, and scalability.
• Data Analysis & Technical Development: Conduct deep dive analyses using SQL, Python, Excel (advanced formulas), and GCP tools to support engineering and business decisions. Build and maintain repeatable analytical frameworks for ongoing network evaluation and performance monitoring. Work with large scale datasets, databases, and ETL pipelines in fast moving operational environments. Develop dashboards, KPIs, and operational reporting using Tableau, Power BI, or similar BI tools.
• Decision Support & Stakeholder Collaboration: Partner with leadership to deliver scenario analysis and data backed recommendations aligned with industry best practices. Prioritize work based on business impact, risk, and operational urgency, balancing short term needs with long term strategy. Collaborate cross functionally with Product, Operations, Engineering, and Analytics teams to ensure solutions are well integrated and operationally viable. Communicate complex concepts clearly through strong visual design, storytelling, and written documentation.
• Documentation & Continuous Improvement: Produce detailed documentation and knowledge transfer materials to ensure solutions are sustainable, scalable, and repeatable. Maintain a continuous improvement mindset, proactively identifying opportunities to enhance tools, processes, and methodologies. Incorporate user feedback to refine analytical products and improve adoption and usability.
• General Skills & Competencies: Strong understanding of freight economics, cost drivers, and logistics network sensitivities. Highly analytical with the ability to think creatively and systematically about complex routing problems. Excellent organizational and prioritization skills in ambiguous, fast paced environments. Strong written and verbal communication skills, with an emphasis on clarity, influence, and collaboration. Ability to apply visual design principles to make analytical outputs intuitive and actionable.

Skills

SQL

Excel

Python

GCP

Data analysis

BI tools

Tools

Tableau

Power BI

Job description

Uber Freight seeks a Lead Logistics Engineer to design, analyze, and optimize complex freight networks at scale. This role sits at the intersection of data, technology, and logistics operations, supporting strategic and tactical decisions through rigorous analysis and collaboration.

The ideal candidate combines freight economics expertise with advanced analytics using SQL, Python, Excel, and GCP, and translates insights into scalable solutions that improve efficiency, service, and profitability