Position Details
About this role
A role focused on developing data models and analytics solutions for equipment health and failure prediction within Caterpillar’s digital division.
Key Responsibilities
- Develop models for asset management
- Source and analyze sensor data
- Evaluate emerging technologies
- Communicate with stakeholders
- Support digital solutions
Technical Overview
Involves sourcing data from sensors and fault codes, applying machine learning and analytics techniques, and developing predictive models using Python and related tools.
Ideal Candidate
The ideal candidate is a data scientist or technical analyst with experience in machine learning, deep learning, and analytics techniques applied to sensor and fault data. They should be capable of sourcing data, developing models, and communicating findings effectively.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in data sourcing or model development, No familiarity with analytics techniques, Unwillingness to work across multiple locations
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