Data Science​/Analyst

Career Area

Marketing, Technology, Digital and Data

Launch your data science or technical analyst career by building AI and analytics solutions that help Caterpillar customers manage fleets, predict equipment failures, and optimize operations around the world. You’ll work with machine learning, Generative AI, IoT data, and advanced analytics while partnering with experienced engineers and data scientists. Cat Digital is the digital and technology focused organization within Caterpillar, Inc.

Our global team is responsible for bringing digital capabilities to Caterpillar’s world‑famous yellow iron. Depending on team placement, you may focus on machine learning, AI, data analytics, digital product support, telematics, digital product development, business intelligence or business insights.

• Develop models to power asset management solutions for customers and dealers using machine learning, deep learning, and statistics‑based or 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 and 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.

Python, SQL, Machine Learning, Generative AI, Cloud Platforms, Data Visualization Tools, IoT & Telematics Data, Statistical Modeling.

• Business Statistics – knowledge of statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
• Accuracy and Attention to Detail – understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
• Analytical Thinking – knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
• Machine Learning – knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
• Programming Languages – knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms to write and modify code.
• Query & Database Access Tools – knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
• Requirements Analysis – knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non‑functionality requirements.

• Bachelor’s degree or higher in data science, computer engineering, electrical engineering or a related degree (completed by start date).
• 0–2 years of relevant experience related to this field (internships or academic projects are a plus).
• Minimum cumulative GPA of 3.0/4.0 (no rounding).

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

Chicago, IL and Peoria, IL. Limited opportunities in Dallas, TX. Basic relocation may be available depending on relocation qualifications. Sponsorship now or in the future is NOT available for this position.

Summary Pay Range: $89,210.00 – $

Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job‑related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.

• Medical, dental, and vision benefits*
• Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
• 401(k) savings plans*
• Health Savings Account (HSA)*
• Flexible Spending Accounts (FSAs)*
• Health Lifestyle Programs*
• Employee Assistance Program*
• Voluntary Benefits and Employee Discounts*
• Career Development*
• Incentive bonus*
• Disability benefits
• Life Insurance
• Parental leave
• Adoption benefits
• Tuition Reimbursement

* These benefits also apply to part‑time employees.

Caterpillar is an Equal Opportunity Employer, including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.