Forecasting and Pricing Data Scientist

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 out...