Data Scientist - Logistics Optimization

What role you will play in team: You'll be part of a team focused on using data science to optimize FedEx's global logistics network.What you will do: You'll build and deploy machine learning models to improve routing, scheduling, and resource allocation.Key responsibility:Develop and implement machine learning models for route optimization, delivery prediction, and resource allocation.Analyze large datasets of logistics data to identify areas for improvement.Collaborate with engineers to integrate models into production systems.Evaluate model performance and identify areas for improvement.Communicate findings and recommendations to stakeholders.Required Qualification and Skills:Master's degree in Operations Research, Statistics, Computer Science, or related field.Experience in logistics optimization or supply chain management.Proficiency in Python or R.Experience with machine learning algorithms for regression, classification, and clustering.Strong analytical and problem-solving skills.Benefits Included:Competitive salary and benefits.Opportunities for career growth within a global company.Work on challenging and impactful projects.Health insurancePaid time offA Day in the Life: A typical day will involve working with large datasets, developing and testing machine learning models, collaborating with engineers, and presenting your findings.

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