Sr. Data Scientist; Supply Chain Management & Optimization

Job Summary (Sr. Data Scientist Supply Chain Management & Optimization)

• Develop and optimize machine learning models focused on supply chain management, including demand forecasting, inventory, logistics, and sales/marketing optimization.
• Hands‑on coding and data analysis using Python, SQL, and Jupyter Notebooks.
• Productionalize and deploy ML solutions (MLOps), ensuring models are scalable, performant, and integrated into production systems.
• Collaborate with business stakeholders to gather requirements, prioritize use cases, and communicate business impact and ROI.
• Shape and prepare data inputs for modeling, especially in early‑stage or immature data environments.
• Utilize Microsoft Azure platform technologies (Fabric, Synapse, Azure AI Foundry, Azure ML, Azure SQL Managed Instance, Azure Synapse Analytics) for model development and deployment.
• Work closely with solution architects to ensure seamless deployment and integration of ML models.
• Bring at least 5+ years of experience as a Data Scientist with a strong focus on supply chain management and complex problem‑solving.
• Hybrid work arrangement (3 days onsite per week) in Deerfield Beach, FL.
• 6‑month contract‑to‑hire position, seeking local candidates.