Lead Data Scientist (Service Events & Insights)
Caterpillar
- Location
- Peoria, Illinois
- Work model
- On-Site
- Level
- Senior
- Sponsorship
- Sponsors visa
- H-1B history
- 106 approvals (FY2023)
- Posted
- Aug 24, 2026
Skills
About this role
Career Area: 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. Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you’re joining a global team who care not just about the work we do – but also about each other. We are the makers, problem solvers and future work 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. Our Product Support and Logistics Division (PSLD) is one of the most innovative divisions within Caterpillar. In PSLD, as within all of Caterpillar, our priority is our customers and helping them build a better world. We touch nearly every element of the services value stream. PSLD is responsible for Aftermarket Parts Distribution of Cat Parts, Integrated Logistics and Global Services supporting Caterpillar dealers and customers. Our teams work together in critical areas that leverage digital capabilities, technology and operational excellence. The Global Service organization within PSLD provides world-class support to Cat® dealers across the globe. The Lead Data Scientist – Service Events & Insights will perform analytical tasks and initiatives on huge amount of data to support data-driven business decision and development.
Additional Information
Location: Peoria, IL (United States) Required Travel: Up to 10% (Domestic & International) Relocation Assistance Offered: None US Work Sponsorship Offered: None What You Will Do: As the Lead Data Scientist – Service Events & Insights, you will develop high quality, actionable insights within the Service Events Domain by: • Leading the design and execution of advanced analytics and data science initiatives, translating large-scale Service Events data into actionable business insights • Directing data acquisition, transformation, and modeling efforts across complex, high-volume datasets to enable scalable and reliable analytics solutions • Defining problem statements, analytical approaches, and success criteria in collaboration with business stakeholders to ensure alignment with strategic objectives • Developing, deploying, and optimizing machine learning models and statistical analyses to improve service outcomes, forecasting, and decision-making accuracy • Applying advanced techniques such as natural language processing, text analytics, and predictive modeling to extract value from structured and unstructured service data • Leading investigation into data model optimization, algorithm performance, and analytical methodologies to continuously improve solution effectiveness • Communicating insights and recommendations through data visualization and storytelling, enabling informed decision-making at multiple levels of the organization • Serving as a technical thought leader, guiding best practices in data science, analytics, and experimentation across cross-functional teams What You Have (Basic Requirements): • 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,