Data Scientist

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.

Performs analytical tasks and initiatives on huge amounts of data to support data-driven business decision and development & own the Freight Audit process.

Responsibilities:

• Directing 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.
• Leading to define 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.
  
  

Essential Skills, Characteristics, & Experience :

• 5+ years of experience in Analytics, Machine Learning, AI, Predictive Modeling
• Master’s in computer science/mathematics/supply chain/Statistics preferred
• Strong quantitative analysis, statistics, programming, and statistical modeling skills.
• Understanding of core ML concepts and its application in solving real world problems
• High level of comfort/expertise in SAS & Python
• Visualization using Power-BI/Tableau.
• Capable problem solver who uses logic to create effective solutions to complex customer problems
• Possess a Lean Mindset for executing continuous improvements/automations in the process which is being delivered
• Previous experience in Supply chain, Logistics and IT Systems experience preferred
• Must demonstrate superior innovation, leadership, initiative, judgment, interpersonal skills and the ability to communicate quantitative information effectively.
  
  

Skill Descriptors:

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.

Level Basic Understanding:

• Identifies and describes basic statistical measures.
• Summarizes the underlying uncertainties associated with statistical analysis and reporting.
• Describes the relationship between statistical measurement and continuous improvement.
• Cites examples and meaning of statistics used in own area.
  
  

Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.

Level Working Knowledge:

• Accurately gauges the impact and cost of errors, omissions, and oversights.
• Utilizes specific approaches and tools for checking and cross-checking outputs.
• Processes limited amounts of detailed information with good accuracy.
• Learn from mistakes and apply lessons learned.
• Develops and uses checklists to ensure that information goes out error-free.
  
  

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.

Level Basic Understanding:

• Names specific tools or techniques that can be used to support the analytical thinking process.
• Describes specific software applications or products used for business analytics.
• Gives examples of how analytical thinking has been used to resolve problems.
• Helps others research and learn more about business analytics tools and applications.
  
  

Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.

Level Basic Understanding:

• Explains the definition and objectives of machine learning.
• Describes the algorithms and logic of machine learning.
• Distinguishes between machine learning and deep learning.
• Gives several examples on the implementation of machine learning.
  
  

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.

Level Basic Understanding:

• Describes the basic concepts of programming and program construction activities.
• Uses programming documentation including program specifications in order to maintain standards.
• Describes the capabilities of major programming languages.
• Identifies locally relevant programming tools.
  
  

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.

Level Basic Understanding:

• Identifies query facilities that are available in one's own environment.
• Explains organization's standards, procedures and practices for building queries.
• Describes the functions and features of query and database access tools.
• Identifies the key benefits and drawbacks of query languages.
  
  

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 the success of a system or software development project.

Level Working Knowledge:

• Follows policies, practices and standards for determining functional and informational requirements.
• Confirms deliverables associated with requirements analysis.
• Communicates with customers and users to elicit and gather client requirements.
• Participate in the preparation of detailed documentation and requirements.
• Utilizes specific organizational methods, tools and techniques for requirements analysis.
  
  

Posting Dates:

September 19, 2025 - October 2, 2025

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

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