Key Responsibilities • Demand Forecasting: Design, build, and deploy scalable demand forecasting models (time-series, ML-based) to predict product demand at SKU, category, channel, and regional levels. • Discount & Price Simulation: what-if simulation tools to optimize discount strategies and maximize margin. • End-to-End Model Ownership: Own the full ML lifecycle—data exploration, feature engineering, model training, validation, deployment, monitoring, and iteration. • Production Deployment on AWS: Build, train, and deploy models using AWS SageMaker; manage pipelines, endpoints, and model versioning in cloud-native environments. • Stakeholder Collaboration: Translate complex analytical outputs into clear, actionable insights for business leaders; present findings and recommendations to senior leadership. • Power BI: Create automated reports to present and track demand forecast model output. • Data Pipeline Development: Collaborate with Data Engineers to build robust, scalable data pip...