Data Scientist / Technical Analyst

What you'll do

• Develop machine learning and physics-based models to predict equipment failures and estimate remaining useful life.
• Analyze time-series sensor data and machine fault codes to identify health anomalies in heavy equipment.
• Utilize Generative AI to train, evaluate, and implement solutions including chatbots and AI agents.
• Perform prompt engineering to fine-tune AI models and develop new automated assistants.
• Conduct reliability monitoring, root cause investigations, and performance optimization for digital products.
• Research and test cellular, satellite, and Wi-Fi technologies to ensure long-term global connectivity.
• Provide technical support for essential Caterpillar digital applications and products.
• Elicit and record business requirements to ensure the success of software development projects.

What we're looking for

• Bachelor’s degree or higher in data science, computer engineering, electrical engineering, or a related field (preferred).
• 0-2 years of relevant experience in the field (preferred).
• Minimum cumulative GPA requirement of 3.0/4.0 (no rounding).
• Knowledge of business statistics, including tools and processes to describe results in measurable scales.
• Knowledge of machine learning principles, technologies, and algorithms to develop and deliver systems.
• Proficiency in programming languages and query/database access tools for data management and extraction.
• Knowledge of requirements analysis methods to elicit and record business functionality for software development.
• Experience through internships, personal projects, research, hackathons, student organizations, or coursework (preferred).