Key accountabilities: Build data-science and algorithmic solutions to address business problems requiring descriptive diagnostic predictive and/or prescriptive analytics for addressing business questions linked to Cross functional processes (S&OP Innovation NRM integrated business planning and other related processes) Innovate new data and analytic methodologies by partnering closely with in-market data scientists who are engaged linked closely with Category / Country business teams (CCBTs) Develop the 12-month roadmap of data-science and algorithmic enhancements Strong track record in solving analytical problems using quantitative and statistical approaches Expert knowledge in statistics (Regression Clustering Random Forrest Decision Trees Optimization Time Series Probability and other related advanced methodologies) Expert knowledge of an analysis tool such as Angoss KNIME Spotfire Microsoft PowerBI and Tableau Expert knowledge working with and coding in R R Shiny and Microsoft Azure Machine Learning Ability to manipulate and analyse complex high-volume high-dimensionality data from varying sources Please refer to the Job description above
Job Summary
Key accountabilities: Build data-science and algorithmic solutions to address business problems requiring descriptive diagnostic predictive and/or