The candidate must have experience designing, conducting, and interpreting statistical analyses using common statistical software tools (e.g., R, Python, etc.) and techniques (e.g., linear and logistic modeling, tree-based modeling, neural nets, anomaly detection, image/video classification, principal component analysis (PCA), etc.) Experience with Python for big-data analysis built upon structured (SQL) and unstructured (data lakes / Hadoop) file systems is a plus. Today, as the first North American steel company to have declared a 2050 net-zero greenhouse gas emissions goal, we remain as innovative as ever, leading transformation across our industry while continuing to make products for everyday life - from industries as far ranging as automotive, construction, containers and packaging, appliances, and energy.