Data Scientist / Technical Analyst

What you'll do

• Develop machine learning and statistical models to predict equipment failures and identify health anomalies in sensor data.
• Build asset management solutions using time-series data, fault codes, and inspection records.
• Implement Generative AI solutions including model training, evaluation, selection, and prompt engineering.
• Create AI agents, assistants, and chatbots to improve customer and dealer experiences.
• Perform reliability monitoring, incident response, root cause investigations, and performance optimization.
• Research and test cellular, satellite, Wi-Fi, and Bluetooth technologies for global telematics programs.
• Provide technical support for essential Caterpillar digital applications and products.
• Evaluate emerging technologies and new product platforms to enhance digital capabilities.

What we're looking for

• Knowledge of statistical tools and processes to describe business results in measurable scales.
• Ability to use programming languages to write and modify code for technical solutions.
• Proficiency in machine learning principles, technologies, and algorithms to develop and deliver systems.
• Ability to use query and database access tools to search, extract, and format data.
• Knowledge of requirements analysis techniques to elicit and record business functionality.
• Experience with Python, SQL, Generative AI, Cloud Platforms, and Data Visualization Tools.
• Bachelor’s degree or higher in data science, computer engineering, electrical engineering, or a related field (preferred).
• 0-2 years of relevant experience including internships, academic projects, or research (preferred).