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# Senior Data Scientist - SCM

- **Company:** Stellar IT Solutions
- **Location:** Deerfield Beach, FL, United States
- **Experience:** Expert
- **Salary:** $145,600.0 - $156,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Data Visualization, Data Warehousing, Database Queries, Python (Programming Language), Machine Learning, Microsoft Software, SQL Azure, NumPy, Oracle Databases, Power BI, Tensorflow, Azure Machine Learning, Data Processing, Pytorch, Pandas, Microsoft Fabric, Scikit Learn, Azure Synapse Analytics
- **Published:** June 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e8465d976f0e47cd

## About the Role

Do you have experience in Supply chain optimization?, * 5+ years of experience as a Data Scientist, with a strong focus on supply chain management.

 * Proficiency in Python and data manipulation libraries (Pandas, NumPy).
 * Strong SQL skills and experience with Oracle Databases.
 * Hands-on expertise with machine learning frameworks (TensorFlow, Scikit-learn, PyTorch).
 * Familiarity with Azure cloud platforms, data warehousing solutions, and Microsoft Fabric.
 * Experience with supply chain optimization tools and methodologies, ideally within the automotive industry., + Recent experience in the past three years deploying AI at scale or driving measurable impact
 + Recent exp with deployment of ML work in production
 + Recent use case (RAG chatbot) with clear business value
 + To be able to articulate framework for ensuring ROI, value capture, or scaling
 + A structured methodology for building capabilities or prioritizing use cases

## Description

* Design, implement, and optimize machine learning models using the Microsoft technology stack (Azure AI Foundry, Azure ML, Azure SQL Managed Instance, Azure Synapse Analytics).
 * Collaborate with architects to deploy ML models into production, ensuring scalability, performance, and seamless integration with existing systems.
 * Apply advanced analytics to solve complex supply chain challenges, including demand forecasting and operational optimization.
 * Communicate insights effectively through data visualization tools such as Power BI.


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