Cat Digital/cat Technology – Data Scientist/technical Analyst

Caterpillar · Industrial · Chicago, IL +2

This role focuses on developing models for asset management solutions using machine learning, deep learning, and Generative AI. Responsibilities include sourcing data, gathering requirements, applying digital technologies, and utilizing Generative AI for training, evaluation, prompt engineering, and creating agents/assistants/chatbots. The role also involves ensuring long-term connectivity through strategic planning and testing of various communication technologies.

What you'd actually do

  1. Develop models to power asset management solutions for customers and dealers using machine learning, deep learning, and statistics-based/physics-based analytics techniques on time-series sensor data, machine fault codes, inspections and analysis records to identify health anomalies, predict equipment failure modes, estimate remaining useful life, and build equipment risk models
  2. Utilize Generative AI to develop and implement solutions, encompassing model training, evaluation, and selection. Engage in Prompt Engineering by fine-tuning AI models, developing new models, creating agents, assistants, and chatbots
  3. Ensure long-term connectivity through strategic planning and execution, including global telematics device programs. This involves testing, research, and analysis of cellular, satellite, Wi-Fi, Bluetooth, and other on-board and off-board technologies
  4. Evaluating emerging technologies by evaluating new product services and technology platforms
  5. Provide digital technical support for essential Caterpillar digital applications and products

Skills

Required

  • Business Statistics
  • Accuracy and Attention to Detail
  • Analytical Thinking
  • Machine Learning
  • Programming Languages
  • Query and Database Access Tools
  • Requirements Analysis

Nice to have

  • Bachelor’s degree or higher in data science, computer engineering, electrical engineering or related degree
  • 0-2 years of relevant experience related to this field (internships or academic projects are a plus)
  • Minimum cumulative GPA requirement 3.0/ 4.0 (no rounding)
  • Demonstrated strong problem-solving skills and the ability to work effectively in a team environment

What the JD emphasized

  • machine learning
  • deep learning
  • Generative AI
  • Prompt Engineering
  • fine-tuning AI models
  • developing new models
  • creating agents, assistants, and chatbots
  • time-series sensor data
  • predict equipment failure modes

Other signals

  • Generative AI
  • Prompt Engineering
  • fine-tuning AI models
  • developing new models
  • creating agents, assistants, and chatbots
  • machine learning
  • deep learning
  • time-series sensor data
  • predict equipment failure modes