Data Scientist - Forecasting & Pricing

• 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 pipelines supporting model training and inference. Must-Have Skills • 6–8 years of hands-on experience in Data Science, ML, or Advanced Analytics • Strong experience in Demand Forecasting (ARIMA, Prophet, LSTM, XGBoost, or similar) • Proven expertise in Pricing/Discount Simulation (price elasticity modeling, scenario analysis) • Must have deep understanding of at least couple of Retail/CPG use cases such as customer segmentation, recommendations, demand forecasting, sentiment analysis, inventory optimization, promotion uplift modeling, campaign analysis, churn prediction, etc. • Hands-on production experience with AWS SageMaker (model training, hyperparameter tuning, deployment, batch/real-time inference) • Programming: Advanced Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch); SQL for data extraction and transformation • Statistical & ML Techniques: Regression, classification, time-series forecasting, ensemble methods, feature engineering