Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization.
Formulate hypotheses and test them using math, statistics, visualization and predictive modeling.
Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business.
Work with stakeholders to determine how to use business data for business solutions/insights.
Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications.
Coordinate with other technical/functional teams to implement models and monitor results.
Apply mathematical, statistical, predictive modelling or machine-learning techniques and with sensitivity to the limitations of the techniques.

5+ years of experience in Supply Chain Planning, Demand Planning, Supply Planning, or IBP/S&OE roles.
Practical experience participating in or supporting IBP/S&OE cycles within a corporate environment.
Familiarity with process documentation, standard operating procedures, and training delivery.
Experience working with planning systems (e.g., SAP APO, SAP IBP, o9, Kinaxis) and data analysis tools (e.g., Excel, Power BI).
Fluency in English is required for effective regional interaction.

Data Science Manager

Key skills