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Lead Data Scientist, Cat Digital

Job in Peoria, Peoria County, Illinois, 61602, USA
Listing for: Caterpillar
Full Time position
Listed on 2026-08-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below

Lead Data Scientist

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.

Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics and AI capabilities to help our customers build a better, more sustainable world.

Job Summary:

The Cloud Analytics Engineering team within Advanced IoT Analytics is seeking a talented and motivated Lead Data Scientist to lead important projects in electrification, aftermarket analytics, and other corporately strategic analytics focus areas. The high-impact insights found through this role will shape the way that Caterpillar designs future machines & develops innovative solutions for our customers. To accomplish these daunting challenges, this role will require a skillset in advanced statistical techniques (such as machine learning) as well as domain knowledge of heavy equipment.

What You Will Do:

  • Under the direction of their leader, this position will participate on cross-functional project teams, provide overall guidance to the technical direction of the project, and mentor Jr Information Scientists on the technical approaches being used in order to solve a problem presented by a Caterpillar Business Unit or Service Organization, a Caterpillar Dealer, or a Caterpillar Customer.
  • Demonstrate a breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems
  • Participate on 3-4 projects concurrently
  • Demonstrate thorough knowledge of Caterpillar Inc.; its products and services; its internal systems, processes, and procedures; and its relevant external influences (competitors, laws and regulations, market conditions, etc.)
  • Demonstrate strong initiative to research and apply new methods and digital technologies to exceed customer expectations.
  • Demonstrate significant knowledge in the use of Data Analytics software solutions
  • Significant challenges of this position are working with people; enhancing the team's creativity; maintaining knowledge of approaches used in similar projects; and pushing the technical bounds of experimentation while meeting customer commitments.
  • Solving the business problem presented through applied analytics.
  • He or she should also have a comprehensive knowledge of Caterpillar Inc.; its products and services; its internal systems, processes, and procedures; and a general understanding of Caterpillar's external customers, competitors, and market influencers.

What

You Will Have:

  • Business Statistics:
    Knowledge of the 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.
  • Re…
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