Demand Forecasting Data Scientist

Scope:

• Develop and retrain demand forecasting models as new regional markets come online
• Adapt existing forecasting framework to regional demand signals (seasonality, buying patterns, lead times per market)
• Calibrate forecast accuracy using federated regional data
• Validate model quality meets go-live thresholds before each regional activation
• Collaborate with the optimization team on inputs to the allocation engine

Required:

• 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:

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