Data Scientist: AI, IoT & Analytics

Socket.dev; Chicago (IL); On-site; USD 89,000 - 145,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Relocation assistance

Job summary

Caterpillar Inc. is seeking a Data Scientist/Technical Analyst to help build AI and analytics solutions for fleet management, predictive maintenance, and operations optimization.

You will collaborate with engineers and data scientists on ML, Generative AI, and IoT data across global teams in a dynamic digital organization. The role focuses on time-series sensor analytics, model development, and digital product support, with locations typically in Chicago/Peoria and opportunities in Dallas.

Qualifications

• Bachelor’s degree or higher in data science, computer engineering, electrical engineering or related degree (must complete by 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)

Responsibilities

• Develop models to power asset management solutions for customers and dealers using machine learning, deep learning, and statistics-based analytics on time-series sensor data to identify health anomalies and predict failure modes
• Evaluating emerging technologies by evaluating new product services and technology platforms
• Utilize Generative AI to develop and implement solutions, including model training, evaluation, and selection; engage in Prompt Engineering

Skills

Python

SQL

Machine Learning

Generative AI

Cloud Platforms

Data Visualization

IoT & Telematics

Statistical Modeling

Education

Bachelor’s degree or higher in data science, computer engineering, electrical engineering or related degree

Tools

SQL

Jupyter

Job description

Caterpillar Inc. is seeking a Data Scientist/Technical Analyst to help build AI and analytics solutions for fleet management, predictive maintenance, and operations optimization.

You will collaborate with engineers and data scientists on ML, Generative AI, and IoT data across global teams in a dynamic digital organization. The role focuses on time-series sensor analytics, model development, and digital product support, with locations typically in Chicago/Peoria and opportunities in Dallas.