(USA) Senior Manager, Data Science
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The role
Lead data science and optimization initiatives to optimize end-to-end network design and enable data-driven decisions in a large-scale supply chain context.
Develop and deploy optimization, simulation, and ML solutions using operations research, stochastic programming, and causal inference to guide strategic choices.
Collaborate with cross-functional partners and communicate results to both technical and non-technical audiences, informing design and monetization strategies.
Implement and integrate tools and libraries such as CPlex, Gurobi, XPressMP, Python, SQL, Scikit-Learn, TensorFlow, PyTorch, and Keras.
Lead, mentor, and influence teams while fostering an inclusive, accessible digital experience and strong stakeholder relationships.
Contribute to publishable research and high-impact delivery, shaping the evolution of the network design and analytics capabilities.
Develop and deploy optimization, simulation, and ML solutions using operations research, stochastic programming, and causal inference to guide strategic choices.
Collaborate with cross-functional partners and communicate results to both technical and non-technical audiences, informing design and monetization strategies.
Implement and integrate tools and libraries such as CPlex, Gurobi, XPressMP, Python, SQL, Scikit-Learn, TensorFlow, PyTorch, and Keras.
Lead, mentor, and influence teams while fostering an inclusive, accessible digital experience and strong stakeholder relationships.
Contribute to publishable research and high-impact delivery, shaping the evolution of the network design and analytics capabilities.
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