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Uber Freight is seeking a Lead Logistics Engineer to design, analyze, and optimize complex freight networks at scale. You will partner with Product, Operations, Data Science, and Leadership to improve efficiency, service, and profitability across the network.
Responsibilities include analytics, modeling, and developing scalable solutions with SQL, Python, and BI tools, while driving continuous improvement and knowledge transfer across teams.
Schedule: Full Time Job Type: Hybrid Salary Type: Salary Req #: 3123 No immigration sponsorship or transfer available for this role.
Uber Freight is seeking a Lead Logistics Engineer to help 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, modeling, and collaboration. The ideal candidate brings a strong understanding of freight economics and network behavior, pairs it with advanced analytical skills, and translates insights into scalable, repeatable solutions that drive measurable business impact. This role partners closely with Product, Operations, Data Science, and Leadership to improve efficiency, service, and profitability across Uber Freight’s network.
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.
7+ years of experience in logistics, transportation, freight brokerage, or supply chain industry experience & network design
Advanced proficiency in SQL and Excel (complex formulas, scenario modeling).
Familiarity with databases, ETL workflows, and large scale operational datasets.
Experience building dashboards and operational metrics in Tableau, Power BI, or similar tools.
Experience with VBA or legacy analytical tools.
Familiarity with optimization methodologies related to routing, capacity planning, and service level tradeoffs.
Hands-on experience with Python for data analysis and modeling is a plus.
Experience working within the Google Cloud Platform (GCP) ecosystem.
Illinois: The target salary range for this role is: $131,000 - $160,000
Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real-time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com .
Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.
Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.