Develop predictive models, forecasting tools, and machine learning solutions to support logistics and readiness analytics. Conduct exploratory data analysis to identify trends, anomalies, and operational risks, and create analytical products supporting supply chain optimization and performance management. Develop dashboards, visualizations, and decision-support tools; support model validation, performance monitoring, and continuous improvement; and collaborate with Data Architects and engineers to operationalize analytical solutions. Communicate analytical findings to technical and non-technical stakeholders.
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Job Type
Full-time
Career Level
Mid Level