Data Scientist-Forecasting and 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 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: Collab...

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