Caterpillar Inc.

Data Scientist – Technical Analyst

Caterpillar Inc.

full-time

Posted on:

Location Type: Office

Location: Chicago • Illinois • Texas • United States

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Salary

💰 $89,210 - $144,960 per year

About the role

  • 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
  • Evaluating emerging technologies by evaluating new product services and technology platforms
  • 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
  • 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
  • Provide digital technical support for essential Caterpillar digital applications and products

Requirements

  • Bachelor’s degree or higher in data science, computer engineering, electrical engineering or related degree (selected candidates must complete their degree by their start date)
  • 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
Benefits
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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningdeep learningstatistics-based analyticsphysics-based analyticstime-series analysismodel trainingmodel evaluationprompt engineeringAI model fine-tuningrisk modeling
Soft Skills
problem-solvingteamwork