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. Working with your yellow partners and Cat Dealers, we execute key components of digital and marketing portfolios, including global marketing & brand, connectivity, enterprise data, analytics and AI, equipment management, eCommerce, digital marketing, rental & used digital solutions, and aftermarket leads & insights.  

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. 

  What You Will Do 

As a data scientist / technical analyst you may:  

• 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  

• Reliability monitoring and observability, incident response, automation development, reliability analysis, operational readiness reviews, root cause investigations, performance optimization, and continuous improvement initiatives

• 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 

Technologies you may use include, but are not limited to: Python, SQL, Machine Learning, Generative AI, Cloud Platforms, Data Visualization Tools, IoT & Telematics Data, Statistical Modeling 

 What You Will Have - Skills and Experiences  

• 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 in order to write and modify programming languages  

• Query and 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 to ensure the success of a system or software development project 

Top Candidates May Have:  

• 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 

Additional Information   

• Locations for this position are typically Chicago and Peoria Illinois. Limited opportunities in Dallas, Texas   

• Basic relocation may be available, depending on relocation qualifications   

• Sponsorship now or in the future is NOT available for this position