<p>Key Responsibilities</p><ul><li>Design and implement forecasting algorithms tailored to specific customers and product lines</li><li>Partner with business stakeholders to determine appropriate forecasting methodologies and modeling approaches</li><li>Build machine learning solutions from scratch (no existing models in place)</li><li>Ingest and transform data from an on‑premises data warehouse using ETL processes</li><li>Stage and model data into reporting schemas for analytics and downstream consumption</li><li>Develop and expose semantic models, initially schema‑based, and transition them to use a data lake as the primary source</li><li>Enable reporting and analytics by publishing schemas and models into Microsoft Fabric</li><li>Support the evolution of existing semantic models to lake‑centric architectures</li><li>Ensure scalable, well‑governed data models aligned with analytics and ML use case</li></ul><p><br></p>