Statistical Forecasting and Demand Planning

Bachelor’s degree in engineering, supply chain management, applied math, computer science or other relevant degree (required) Experience in statistical forecasting/demand planning with relevant experience in advanced analytics and practice (in a complex/global organization) Strong analytical and problem-solving skills in addition to effective decision-making capability. Excellent attention to detail and the ability to generate actionable insights from large qualitative and quantitative data Strong communication, with the ability to interact effectively with colleagues at different levels and across different teams Strong Mathematics and Statistical Background, focus on such as distributions, statistical testing, regression, correlational models, etc. High level of intellectual curiosity about the Analytics Extensive Experience with Analytics products and solutions Knowledge and experience of tools/techniques: Forecasting, Linear Regression, Logistic Regression, Regularization, Segmentation (Decision Trees, CHAID, CART), Cluster Analysis, Factor Analysis, variable screening, Machine Learning – Random Forest, Gradient Boosting, SVM, XGBoost. Understand of at least one advanced planning systems and its functionality, e.g. Kinaxis, o9 Solutions, other. Knowledge of ERP functionality, experience with SAP / Oracle / JDE an asset.

Deal with huge data, have a good understanding of data science, and have worked on relational databases. Analyze data and provide key findings with potential business impact. Create long-term demand forecasts, considering market conditions; and share that forecast information with other parts of the organization. Responsible for Model Refinement, Statistical Forecasting Optimization. Measurement and reporting of trends to assist in identifying opportunities for increased forecast accuracy and process improvement. Solving problems by applying knowledge of data mining and machine learning. Project Management and Client Interaction.