Data Scientist, Analyst

Jobtailor; Illinois; On-site; USD 65,000 - 90,000; Full time

Job summary

Jobtailor is seeking engineers to develop ML/DL models for asset management using time-series data, identifying health anomalies and predicting failures. The role involves evaluating new tech platforms and applying Generative AI, plus prompt engineering for building agents and chatbots.

Ideal candidates have a 0–2 year background, GPA 3.0/4.0, and internships or projects in data science or related fields. This on-site position in Illinois offers growth in digital solutions.

Qualifications

• Degree or higher in data science, computer/electrical engineering or related field.
• 0–2 years of relevant experience; internships or academic projects are a plus.
• Minimum GPA 3.0/4.0, no rounding.

Responsibilities

• Develop models to power asset management solutions using ML, DL, and analytics on time-series data to predict failures.
• Evaluate emerging technologies and platforms for product services.
• Use Generative AI to train, evaluate, and select models.
• Engage in Prompt Engineering to fine-tune models and build agents, assistants, and chatbots.
• Plan and maintain global telematics connectivity through testing and analysis of cellular, satellite, Wi-Fi, Bluetooth, and other tech.
• Provide digital technical support for Caterpillar digital applications and products.

Skills

Machine learning

Deep learning

Time-series analysis

Python

Data analysis

Education

Bachelor’s degree in data science / computer engineering / electrical engineering

Job description

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.

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