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Statistical Modeling Scientist

Location: Arlington, Virginia
Job ID: 17004080

Statistical forecast scientists work within Supply Chain to develop complex predictive analytics and statistical forecasting models in enterprise forecasting related systems to improve forecast accuracy and bias reduction. Demand signal data will also be incorporated into customer level demand driven forecasting models to drive cost savings and incremental revenue and profit opportunities across the organization. Project work will extend the use of statistical techniques and demand signal analytics to areas beyond supply chain demand planning. As a statistical forecast scientist, you will participate in forecasting model and business process design in collaboration statistical forecast principal and business management.
Design, develop, test, and implement SAS-HPF statistical modeling methodology. Define and develop programming for demand pattern recognition, algorithm selection, outlier correction, and parameter optimization. Design and build advanced reporting to support business requirements. Participate in the design process and integration strategy between Demand Planning and data repositories for varying Nestlé businesses.
Coach analysts in addressing statistical modeling issues identified in periodic statistical forecast review sessions with Demand Planners. Collaborate with Demand Planning business process leads to align business requirements with systems and process solutions that ensure overall Nestle objectives are met. Provide analytics knowledge and support to the Supply Chain business process lead network.
Develop data driven predictive analytics applications from use case concept through experimental design to industrialization / deployment to end users. Lead small scale projects under the guidance of statistical forecast scientist and business management.
Develop professional presentations and project status reporting appropriate for their intended audience.

• A graduate degree in statistics, mathematics, economics, business or related discipline is required.
• 3+ years’ experience in business forecasting / analysis required.
• Must have expert SAS experience, including SAS HPF – documented SAS 9 programming certification required. (TBD)
• Must have expert /strong knowledge of statistical methods and analytical techniques.
• Broad and in-depth knowledge of current statistical forecasting and data mining techniques.
• Expert knowledge of R open source statistical language
• Strong analytical aptitude with a proven ability to analyze/interpret data and build quantitative models of business problems.
• Experience with large implementations of advanced planning systems and/or ERP (especially SAP) systems highly desirable. Previous sales forecasting experience preferably at a CPG company.
• Excellent interpersonal skills
• Good facilitation and presentation skills, including training delivery.
• Excellent oral and written communication skills, organizational and time-management abilities.
• High-initiative, self-starter and able to work with limited supervision.

The Nestle companies are equal opportunity and affirmative action employers and are looking for diversity in candidates for employment: Minority/Female/Disabled/Protected Veteran

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