Caterpillar
From Caterpillar's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Technology, Digital and Data
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Develop predictive maintenance, anomaly detection, and Remaining Useful Life (RUL) algorithms for gas engines.
Analyze large-scale machine and time-series data to identify failure patterns and degradation mechanisms.
Design, develop, validate, and continuously improve machine learning models and analytics solutions.
Translate engine failure mechanisms into software requirements and analytics models.
Collaborate with service engineers, product experts across divisions as well as external software development partners.
Degree in Data Science, Computer Science or a related field ideally with knowledge of gas engine and failure analysis.
Strong knowledge in Python (e.g., pandas, NumPy), SQL, machine learning and AI methods and expertise in time series analysis and machine learning model development
Experienced working with large-scale data platforms and cloud environments (e.g., Azure, AWS)
Ideally experienced in using CAT ACE / ACEint and CAT Foresight.
Excellent analytical and communication skills, with the ability to work effectively in cross-functional teams
High level of self-motivation, ownership, and ability to work independently
November 9, 2026 - November 23, 2026
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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