Data Science Hub based in Warsaw is a place where we develop innovative solutions in the field of quantitative methods and apply it in the exciting world of globally connected Nestle Supply Chain and beyond.

•    Develop appropriate data flows, visualizations and statistical models, primarily using SAS software, to deliver business benefits
•    Explore and experiment new ways of utilizing data and statistical methods to drive business decisions
•    Deliver analytical projects for Supply Chain organization in Nestle Poland and for the European markets as well as externally – for Nestle’s key customers
•    Develop advanced analytics, optimization tools and capabilities that can deliver step change benefits for business results
•    Solve challenging business problems that require analytical skills
 

•    At least 2 years of experience in similar position
•    Master’s degree in Statistics, Econometrics, Mathematics, Computer Science, Big Data or similar studies
•    Experience in SAS (or other tools for statistical analysis: R, Python, etc.) 
•    Knowledge of machine learning techniques (clustering, decision trees, boosting, etc.) and their advantages or drawbacks
•    Experience in application and knowledge of statistical techniques and concepts (statistical tests, regression, feature selection, time series modeling, etc.)
•    Ability to introduce new analytical and statistical methods and tools based on project's requirements
•    Experience in independent project and stakeholder management 
•    Strong curiosity and ability to identify new opportunities for application of analytical methods and tools
•    Ability to explain complex analytical concepts to non-technical audience
•    Fluent English is a must
 

•    Interesting work in an environment with the highest work standards within dynamically growing FMCG company
•    A chance to develop your career across a number of diverse, growing functions (both locally and abroad)
•    Development of the skills through continuous competency building and trainings
•    Collaboration within an international analytical community 
•    Flexible working hours, possibility to work remotely