Job Description

The Data Scientist applies advanced mathematical, statistical, and machine learning methods to operational problems drawn from freight and transportation networks—routing, network structure, utilization, demand and cost modeling, and prediction. This is an analytical role, not a data engineering or MLOps role; the focus is on formalizing ambiguous business questions, selecting and defending appropriate methods, and communicating findings and their limitations to operational and executive stakeholders. Graph-structured data is central to how the business is modeled, so comfort reasoning about networks is a distinct advantage.

Responsibilities:

  • ​Translate ambiguous operational problems into well-posed statistical, mathematical, or graph-theoretic questions
  • Design and run analyses including statistical modeling, regression, optimization, simulation, and predictive/ML modeling
  • Build and validate predictive models, and clearly characterize where...

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