Job Description :
Job title: SAS Retail Forecaster
Location: San Francisco, CS
Duration: 6 months
Interview: Phone
Minimum of 8 years’ prior experience in predictive modeling, forecasting, analytics, and data mining preferred.
SAS Forecast Server/Forecast Server, SAS/ETS experience is preferred
Strong proficiency with data mining/visualization tools as SAS, including SAS Enterprise Miner, Enterprise Guide, Base SAS, Forecast Server/Forecast Studio, SAS/STAT and SAS/ETS.
Experience in Response Modeling and Demand Forecasting is preferred
Experience designing and implementing new forecasting methodology and tools
Expertise in statistical modeling techniques such as linear regression, logistic regression, forecasting, cluster analysis, principal components, and feature creation, validation coupled with programming experience with SAS.
Proficiency in econometric modeling and advanced forecasting methods (marketing analytics a plus)