IBP Supply Planning Data Scientist

Role: IBP Supply Planning Data Scientist supporting Agilent's enterprise demand and supply planning transformation. Responsibilities include developing advanced inventory models, refreshing portfolio targets, monitoring planning parameters, and providing data-driven insights and dashboards to optimize supply chain reliability and efficiency. The role emphasizes automation, scenario analysis, and continuous improvement in supply analytics, partnering with supply planners to align models with standards and process maturity. Qualifications: Bachelor's or Master's in Data Science, Statistics, or related field; 8+ years in data science or equivalent; expertise in predictive modeling, machine learning, Python, SQL, and data visualization tools; strong analytical, problem-solving, and communication skills. Preferred: experience in supply planning/forecasting in commercial settings, cloud platform familiarity, and advanced ML techniques. High-Value: focus on inventory optimization, scenario modeling, and supply chain analytics within a biopharma or high-tech manufacturing context. Work setup: full-time, day shift, with occasional travel.