Sr Applied Scientist - Demand Forecasting

Sr Applied Scientist - Demand Forecasting
Duration: 9 months
Location: Irvine, CA and 100% remote role

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