Data Scientist (Demand Planning Statistician)

Key Skills

Analytical and Problem solving, Data science techniques, Python Programming, Quantitative models, R Programming, Regression Analysis, SAS, Statistical modeling, Time series

Job Description

The Demand Planning Statistician applies complex predictive analytics using large data to support continuous improvement, decision-making, and operational effectiveness across the Supply Chain. Responsible for predicting Nestle Purina Pet Care’s product demand in North America, the Demand Planning Statistician uses data science techniques to develop and enhance forecast models for the manufacturing plants as well as customer accounts. The Demand Planning Statistician is focused on improving forecast accuracy, reducing forecast bias, increasing customer fulfillment, and predicting changes in customer demand.

• Forecasting: Utilize a variety of statistical techniques including regression, ARIMAX, ESM, and other time series methods to develop and improve predictive models. Revise and enhance forecast models by incorporating additional data. Investigate and implement innovative solutions to predict demand at multiple product and customer hierarchies.
• Project Consulting: Provide internal data science consulting services. Help business partners identify opportunities and problems that can be addressed through data science solutions. Support small-scale projects from initial ideation through planning, execution, and delivery.
• Programming: Automate data acquisition, modeling, and visualization in order to streamline and simplify processes. Clean and transform data to prepare datasets for further analysis. Adhere to programming best practices. Work with SAS programming language, as well as other tools and languages.
• Advanced Analytics: Apply predictive analytics, optimization, and visualization techniques in order to understand, describe, and predict data. Combine various data inputs (shipment, order, POS, and promotional data) from different external sources (Sales, Marketing, Operations Planning, Customer Facing, and more) as potential predictors of customer demand.
• Report building: Design and implement advanced reporting to support business needs.
• Review metrics: Implement actions to improve forecast accuracy, bias, and variability to meet demand planning performance targets.

Requirements

• Master’s Degree in statistics, analytics, mathematics, or a related field
• 1+ years’ experience with SAS or another programing language such as Python or R
• 1+ years’ experience solving business problems with advanced quantitative analysis and data science methodology

It is our business imperative to remain a very inclusive workplace.

To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.

The Nestlé Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.

This position is not eligible for Visa Sponsorship.