Immediate C2C Requirement Senior Data Scientist Location: Deerfield Beach, FL

Job Description:
Develop machine learning models focused on demand forecasting, inventory optimization, logistics planning, and supply chain performance improvement.
Productionize scalable ML solutions and MLOps pipelines using Python, SQL, and Azure-based data platforms to deliver measurable business impact.
Partner closely with supply chain, sales, marketing, and operations stakeholders to translate business challenges into high-value analytical use cases.
Analyze complex and imperfect datasets in evolving data environments, helping shape and refine data inputs required for effective modeling. Optimize supply chain decision-making through predictive analytics, statistical modeling, and operational performance insights. Communicate model outcomes, ROI, recommendations, and business impact clearly to both technical and non-technical audiences.
Required Technical Skills
Must-Have
Strong experience building machine learning models for:
Demand forecasting
Inventory optimization
Logistics optimization
Supply chain analytics
Sales & marketing optimization
Hands-on coding expertise in:
Python
SQL
Jupyter Notebooks
Experience productionizing ML solutions and implementing MLOps best practices
Proven experience working with business stakeholders to gather requirements, prioritize initiatives, and drive measurable outcomes
Experience operating within early-stage or immature data environments and improving data readiness for analytics initiatives Experience with Microsoft Azure data platforms, including: Azure Fabric Azure Synapse Analytics Nice-to-Have Automotive industry experience
Experience with large-scale enterprise data ecosystems
Knowledge of cloud-based data engineering and modern data architecture concepts
Familiarity with supply chain planning systems and operational analytics platforms
Experience with experimentation frameworks, optimization algorithms, or time-series forecasting models