Overview
We are seeking a highly skilled
Senior Applied Scientist with expertise in
demand forecasting, machine learning, and retail analytics to develop and optimize forecasting models at scale.
Responsibilities
- 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
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
- Bachelor's degree in Computer Science, Engineering, or a related field; OR equivalent combination of education and relevant experience.
- Hands-on 7+ years of experience asApplied Scientist with expertise in demand forecasting.
- Ability to work independently with architectural direction from lead scientist
Preferred:- Supply chain or inventory management domain experience
- Multi-market / international retail exposure
