Data Scientist – Forecasting & Pricing

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 Sage Maker;
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 ...

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