Sr Applied Scientist - Demand Forecasting

Sr Applied Scientist - Demand ForecastingDuration: 9 monthsLocation: Irvine, CA and 100% remote roleScope: Develop and retrain demand forecasting models as new regional markets come onlineAdapt existing forecasting framework to regional demand signals (seasonality, buying patterns, lead times per market) Calibrate forecast accuracy using federated regional dataValidate model quality meets go-live thresholds before each regional activationCollaborate with the optimization team on inputs to the allocation engineRequired: Applied statistics, time-series forecasting (ARIMA, Prophet, neural methods) Retail demand planning or demand sensing experienceSageMaker model training and deploymentPython, SQL, experience with large-scale retail datasetsAbility to work independently with architectural direction from lead scientistPreferred: Supply chain or inventory management domain experienceMulti-market / international retail exposure