Cost Engineer – Data Analytics

A Cost Engineer specializing in Data Analytics at General Motors drives product and program cost optimization through robust data engineering, exploratory data analysis, and predictive modeling. The role involves building scalable data pipelines, managing relational databases, and creating machine learning models to derive actionable insights on vehicle profitability and manufacturing costs. Candidates will collaborate with cross-functional teams to transform disparate enterprise data into trusted, analysis-ready assets for the GM Finance ecosystem.