Experience with cloud platforms, business intelligence tools, data engineering practices, MLOps, and advanced analytics techniques such as forecasting, optimization, simulation, anomaly detection, computer vision, generative AI, large language models, or digital twins is advantageous. Based at APM Terminals Elizabeth, the Data Science and Analytics Manager will shape and lead the terminal’s analytics capability, turning complex operational data into decisions that improve safety, service, productivity, capacity, and cost performance.