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Data Science​/Analyst

Job in Peoria, Peoria County, Illinois, 61639, USA
Listing for: NLP PEOPLE
Full Time position
Listed on 2026-07-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 89210 - 144960 USD Yearly USD 89210.00 144960.00 YEAR
Job Description & How to Apply Below

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, 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
  • 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.
  • Evaluate emerging technologies by assessing 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.
  • 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.
Technical Skills
  • Programming

    Languages:

    Python, SQL, and related tools.
  • Machine Learning: knowledge of principles, technologies and algorithms of machine learning.
  • Generative AI: experience with model training, evaluation and selection.
  • 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.
  • Programming

    Languages:

    knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms 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…
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