What are the responsibilities and job description for the Sr. Data Scientist (Supply Chain Management & Optimization) position at Steneral Consulting?
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.
Salary : $55 - $60