Senior Data Scientist - Supply Chain Management and Optimization

Senior Data Scientist - Supply Chain Management and Optimization

Location:

Deerfield Beach, FL (Hybrid 3/2). Need only local to Florida within 50 miles radius.

Duration: 12 months

Experience:

10+ years.

We are seeking a highly skilled Senior Data Scientist with a strong background in supply chain management and expertise in both developing and deploying machine learning models into production for end‑user consumption. The ideal candidate will have a proven ability to analyze complex data sets, discern actionable insights, and effectively communicate results to leadership and stakeholders.

• Design, implement, and optimize machine learning models using Microsoft Azure AI Foundry, Azure ML, Azure SQL Managed Instance, and Azure Synapse Analytics to solve supply chain challenges such as demand forecasting, optimization, and logistics planning.
• Analyze complex data sets using statistical analysis and data mining techniques to identify trends, patterns, and anomalies.
• Collaborate with architects to deploy machine learning models into production, ensuring scalability, performance, and integration with existing systems.
• Work closely with cross‑functional teams, including business, end‑users, and IT, to translate business needs into data‑driven solutions.
• Prepare and present findings, models, and statistical outputs to leadership and stakeholders, ensuring clarity and actionable insights.
• Develop use cases by assessing business opportunity areas and underlying data to evaluate potential value propositions and recommend best approaches.

• Proficiency in Python and experience with data manipulation libraries (Pandas, Num Py).
• Experience with Oracle databases and strong SQL skills.
• Experience with machine learning frameworks (Tensor Flow, Scikit‑learn, PyTorch).
• Familiarity with Azure cloud platforms and data warehousing solutions.
• Strong communication skills for presenting complex data insights to non‑technical stakeholders.
• Analytical mindset with proven problem‑solving skills and focus on data‑driven decision‑making.

• Experience in supply‑chain optimization tools and methodologies, especially in the automotive industry.
• Knowledge of data visualization tools (Power BI) for effective communication of findings.
• Experience with Microsoft Fabric.

• Degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
• 5+ years as a data scientist with a strong focus on supply‑chain management and problem‑solving.