Opportunity Description
The Data Scientist applies advanced mathematical, statistical, and machine learning methods to operational problems drawn from freight and transportation networks—including routing, network structure, utilization, demand and cost modeling, and prediction. This analytical role focuses on formalizing ambiguous business questions, selecting appropriate methods, and communicating findings and their limitations to operational and executive stakeholders. Graph-structured data are central to the business model, so comfort reasoning about networks is an 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, clearly characterizing where they generalize and where they do not. Work directly with real data—cleaning, exploring, and interrogating i...
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, clearly characterizing where they generalize and where they do not. Work directly with real data—cleaning, exploring, and interrogating i...
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