Caterpillar

Data Scientist role focused on performing analytical tasks and initiatives on large datasets to support data-driven business decisions and product development. The role involves data gathering, processing, exploring semantic data capabilities using NLP and ML, defining data analysis requirements, presenting insights, and researching data model optimization and algorithms. It emphasizes a data-driven product development culture and enhancing customer engagements.

This role involves monitoring the health of industrial machinery by integrating and analyzing multi-source datasets, including fluid analysis, telematics, and inspection reports. It utilizes advanced analytics and machine learning models to detect patterns, predict failures, and generate actionable insights for optimized asset performance. The role also involves analyzing and correlating data from various sources, providing expert recommendations through software tools, and engaging with customers and dealers to enhance machine uptime and reduce total cost of ownership.