Job Title: Lead Data Engineer (Azure Databricks) Location Preferred: Tampa / Austin Alternate: Toronto Key Responsibilities Build and deploy sales forecasting models using Azure Databricks Analyze historical sales data to generate actionable insights Develop daily and weekly forecasts at product and store level Execute Proof of Concepts (POCs) for forecasting use cases Work with CPG datasets (different from retail models) Collaborate with cross-functional teams for data integration and delivery Ensure model performance, accuracy, and scalability Required Skills Strong experience with Azure Databricks Proficiency in Python for data science and ML Experience in time-series forecasting models (ARIMA, regression, etc.) Hands-on experience with data processing and analytics Understanding of CPG domain (preferred, not mandatory) Ability to build standard/vanilla ML models efficiently Nice to Have Experience working with large-scale data platforms on Azure Exposure to retail or supply chain analytics Experience in client-facing or onsite roles Please contact OpenKyber Contact:
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