Data Scientist

Data Scientist

Hands-on experience in Python-based simulation modeling (e.g., SimPy, AnyLogic (via Python), Pyomo, or custom frameworks). Proven experience in predictive modeling using libraries like scikit-learn, XGBoost, LightGBM, or TensorFlow. Strong understanding of supply chain risk variables specific to biopharma (e.g., lead time variability, manufacturing capacity, etc.)