IBP Supply Planning Data Scientist

Role: The IBP Supply Planning Data Scientist develops and maintains advanced models for inventory and supply planning to support demand fulfillment and enterprise decision-making within Agilent's integrated business planning framework. Responsibilities include creating dashboards, scenario modeling, automating analytics with Python, SQL, and BI tools, optimizing inventory targets, monitoring supply parameters, and providing insights on inventory health and supply-demand alignment. The role supports continuous process improvements and collaborates with supply planners to ensure models reflect operational realities. Qualifications: Bachelor's or Master's in Data Science, Statistics, Computer Science, with 8+ years' experience in data science or similar fields. Proficiency in Python, SQL, R, and visualization tools (Tableau, Power BI, etc.) required. Strong analytical, problem-solving, and communication skills are essential. Preferred: experience in supply planning, forecasting, cloud platforms (AWS, Azure), and advanced machine learning techniques. High-Value: focus on supply chain analytics, inventory optimization, demand-supply alignment, within a biopharma context, with occasional travel. WorkSetup: full-time, day shift, with no specified location; travel is occasional.