Senior Applied Scientist - Demand Forecasting - Retail Domain

Introduction:

This position is for a Senior Applied Scientist specializing in Demand Forecasting within the Retail domain. The individual will be responsible for developing and retraining demand forecasting models as new regional markets come online, adapting existing forecasting frameworks, and validating model quality before regional activations.

Responsibilities:

• Develop and retrain demand forecasting models for new regional markets
• Adapt existing forecasting framework to regional demand signals
• Calibrate forecast accuracy using federated regional data
• Validate model quality meets go-live thresholds before regional activations
• Collaborate with the optimization team on inputs to the allocation engine

Requirements:

• Applied statistics, time-series forecasting (ARIMA, Prophet, neural methods)
• Retail demand planning or demand sensing experience
• SageMaker model training and deployment
• Python, SQL, experience with large-scale retail datasets
• Ability to work independently with architectural direction from lead scientist

Preferred Skills:

• Supply chain or inventory management domain experience
• Multi-market / international retail exposure