Data Scientist / Technical Analyst

Career Area: Marketing, Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. 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, an [... source excerpt omitted ...] acement, 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 serv [... source excerpt omitted ...] 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 t