Senior Data Scientist – Supply Chain Management & Optimization
Job Location:
Deerfield, WI - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Seeking a highly skilled Senior Data Scientist with a strong background in supply chain management and expertise in both developing and deploying machine learning models into production for end user consumption
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5 years of experience as a data scientist with a strong focus on supply chain management and problem-solving.
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Design implement and optimize machine learning models utilizing the Microsoft technology stack (Azure AI Foundry Azure ML Azure SQL Managed Instance Azure Synapse Analytics) to solve supply chain challenges including demand forecasting optimization and logistics planning.
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Work with architects to deploy machine learning models into production environments ensuring scalability performance and integration with existing systems.
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They need
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recent experience in the past three years deploying AI at scale or driving measurable impact
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Recent exp with deployment of ML work in production
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recent use case (RAG chatbot) with clear business value
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To be able to articulate framework for ensuring ROI value capture or scaling
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a structured methodology for building capabilities or prioritizing use cases
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Machine learning modeling especially in the Sales and Marketing areas of Supply Chain Demand Forecasting inventory/logistics optimization
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Hands-on coding expertise in python SQL Jupyter Notebooks
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Have productionalize ML solutions and not just built prototypes (MLOps).
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experience working with business stakeholders understanding requirements prioritize use cases communicate ROI and impact
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experience working in early-stage / immature data environments and help shape data inputs for modeling
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Azure platform experience (Fabric Synapse)
