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Data Scientist

Caterpillar

$79,800 - $119,760
Oct 20, 2025
Irving, TX, US
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Caterpillar Inc. is looking to develop business analytics and reporting to support growth within the Large Electric Power Systems Division and improve the effectiveness of their operational teams.

Requirements

  • 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
  • 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
  • Requirements Analysis: knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required businessfunctionality and non-functionality requirements to ensure the success of a system or software development project

Responsibilities

  • developing business analytics and reporting to support growth within the segment and improve effectiveness of our operational teams
  • communicate with internal customers, team members, and stakeholders
  • respond to routine information requests
  • provide support to your teams
  • 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
  • knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services
  • knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use

Other

  • Bachelor’s degree or higher in Data Science, Computer Engineering, Electrical Engineering or related degree
  • Passion for technology and a desire to learn and grow in the field of data science
  • Strong problem-solving skills and the ability to work effectively in a team environment
  • A commitment to delivering high-quality work and continuous improvement
  • Minimum cumulative GPA requirement 3.0/ 4.0 (no rounding)