IBP Supply Planning Data Scientist

Role: The IBP Supply Planning Data Scientist develops advanced models and analytics to optimize inventory and supply planning, supporting enterprise demand-supply alignment and decision-making within Agilent's integrated business planning (IBP) framework. Responsibilities include creating dashboards, scenario modeling, automating analytics with Python, SQL, and BI tools, refreshing inventory targets, monitoring key parameters, and analyzing inventory health to ensure supply reliability. Collaborates with supply planners and governance teams to improve data quality and process maturity. Qualifications: Bachelor's or Master's in Data Science, Statistics, Computer Science, with 8+ years of experience in data science or related fields; expertise in predictive modeling, machine learning, statistical analysis; proficiency in Python, R, SQL, and visualization tools like Tableau or Power BI; strong analytical, problem-solving, and communication skills. Preferred: experience in supply planning/forecasting, familiarity with cloud platforms (AWS, Azure), and advanced machine learning techniques. High-value specifics: enterprise-wide demand-supply optimization, focus on inventory health, scenario analysis, and model development supporting supply chain stability. Work setup: full-time, day shift, with occasional travel.