Senior Data Scientist W​/Supply Chain Management-local to FL

Job Summary (Senior Data Scientist w/ Supply Chain Management , Deerfield, FL)

• Lead the design, implementation, and optimization of machine learning models to address supply chain challenges (demand forecasting, optimization, logistics planning).
• Utilize Microsoft technology stack (Azure AI Foundry, Azure ML, Azure SQL Managed Instance, Azure Synapse Analytics) for model development and deployment.
• Collaborate with architects to deploy models into production, focusing on scalability, performance, and seamless integration with existing systems.
• Apply advanced data science techniques using Python and libraries such as Pandas and Num Py.
• Work extensively with SQL and Oracle Databases for data extraction, manipulation, and analysis.
• Employ machine learning frameworks (Tensor Flow, Scikit-learn, PyTorch) for model development.
• Leverage Azure cloud platforms and data warehousing solutions for data management and model operations.
• Utilize supply chain optimization tools and methodologies, preferably with experience in the automotive industry.
• Communicate insights and findings through data visualization tools, particularly Power BI.
• Use Microsoft Fabric for data integration and workflow management.
• Minimum 5 years experience as a data scientist with a focus on supply chain management and problem-solving.