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Data Scientist , Lens Customer Analytics

Job in Peoria, Peoria County, Illinois, 61639, USA
Listing for: Caterpillar Inc.
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 89000 - 145000 USD Yearly USD 89000.00 145000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist I, Lens Customer Analytics
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 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.

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.

Cat® Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital and analytics solutions for our customers and dealers. We’ve created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. With over 1.5M connected assets worldwide, our business and in the industries, we serve, data is generated continuously by Cat® equipment using the latest technology, advanced analytics, telematics and AI capabilities to help our customers build a better world.

Job Summary

Join the Customer Analytics and Applied AI team of Cat Digital and perform analytical tasks and initiatives on huge amounts of data to support data-driven business decision and development.

Lens Identifies real world customer behavioral using Historical Customer and Dealer Data to identify customers’ unmet needs and Support Customers Proactively to get their toughest job done.

What You Will Do
  • Performing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
  • Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
  • Defining requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
  • Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
What You Will Have
  • Business Statistics:
    Working 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:
    Working understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
  • Analytical Thinking:
    Working 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:
    Basic knowledge of principles, technologies and algorithms of machine…
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