Data Scientist, Analyst

Responsibilities

• 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.
• Evaluate 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.

• 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).
• Experience through internships, personal projects, research, hackathons, student organizations, or coursework is highly valued.