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.

Requirements

Hybrid work arrangement (3 days onsite per week) in Deerfield Beach, FL. 6-month contract-to-hire position, seeking local candidates.