• Develop sales forecasting excellence by building statistical and machine learning models to solve forecasting needs across business domains. • Contribute to self-service forecasting data tools to enable real-time decision-making. • Own the end-to-end machine learning lifecycle, including scoping, feature engineering, model training and testing, deployment, monitoring, and explainability. • Drive strategic business partnership by translating technical model outputs into business-aligned recommendations and decision frameworks with forecast explainability and driver decomposition. • Act as a leader in the data science team by mentoring junior data scientists, leading technical design reviews and learning sessions, and influencing roadmap and standards across the data science team.