What is a Data Scientist at XPO?
As a Data Scientist at XPO, you will sit at the intersection of cutting-edge technology and global supply chain logistics. XPO is one of the largest providers of asset-based less-than-truckload (LTL) transportation in North America. In this role, your work directly impacts how millions of tons of freight move across the continent daily. You will build and deploy models that solve highly complex, real-world physical challenges, such as route optimization, dynamic pricing, freight capacity forecasting, and labor scheduling.
The data ecosystem at XPO is massive, fast-moving, and highly complex. Unlike digital-only products, the variables you model here have physical consequences—ranging from fuel consumption and transit times to warehouse space utilization and carrier efficiency. This means your predictive models and optimization algorithms must be robust, scalable, and highly accurate, as they directly influence operational decisions and bottom-line profitability.
For a data professional, this environment offers an incredibly rich playground. You will collaborate closely with operations, engineering, and product teams to translate physical logistics problems into mathematical frameworks. If you are excited by the prospect of seeing your algorithms optimize massive fleets of trucks and streamline multi-million-dollar supply chain operations, the Data Scientist role at XPO offers an unparalleled opportunity for high-impact work.




