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.

Job Description

Job Duties/responsibilities include but are not limited to

Analyze the data to discover patterns and trends.
Perform Descriptive, Predictive data analytics and visualization.
Collaborate with data engineering, Functional and Business teams.
Develop tools to proactively measure, monitor and improve data quality.
Schedule Job runs and automation of repetitive workflows.
Monitor and support production models, coordinate issue resolution with various support groups.

The Data scientist demonstrates good knowledge of statistical approaches, data management techniques, and/or related digital technologies, and the ability to handle complex issues. The position also mentors and develops the capabilities and organizational knowledge of other resources. The incumbent demonstrates very good communication and presentation skills, being able to explain conclusions to customers who have limited knowledge and experience with quantitative analytical methods. As an individual contributor on teams, they should also exhibit strong initiative and teamwork skills.

BACKGROUND/EXPERIENCE:

AI model training, deployment
Computer vision & related python libraries.
Typically requires a Bachelor’s degree in engineering with 5 years of related work experience.
Should have expertise in Data analysis, Data visualization, Statistical modelling.
Must have proficiency in Python and SQL, visualization tool like Power BI and exposure to snowflake.
Good understanding of Big data and cloud database concepts
Good communication and interpersonal skills
Exposure to Manufacturing environment is preferable.

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 Working Knowledge:

Explains the basic decision process associated with specific statistics.
Works with basic statistical functions on a spreadsheet or a calculator.
Explains reasons for common statistical errors, misinterpretations, and misrepresentations.
Describes characteristics of sample size, normal distributions, and standard deviation.
Generates and interprets basic statistical data.

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

Level Extensive Experience:

Evaluates and makes contributions to best practices.
Processes large quantities of detailed information with high levels of accuracy.
Productively balances speed and accuracy.
Employs techniques for motivating personnel to meet or exceed accuracy goals.
Implements a variety of cross-checking approaches and mechanisms.
Demonstrates expertise in quality assurance tools, techniques, and standards.

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 Working Knowledge:

Approaches a situation or problem by defining the problem or issue and determining its significance.
Makes a systematic comparison of two or more alternative solutions.
Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns.
Identifies the major forces, events and people impacting and impacted by the situation at hand.
Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions.

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

Level Working Knowledge:

Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization.
Utilizes specific tools and techniques to process descriptive and inferential statistics.
Applies specific computing languages and tools in machine learning, such as R and Python.
Explores to use machine learning in one own areas to make business improvements.
Conducts data mining and cleaning initiatives.

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 Working Knowledge:

Participates in the implementation and support of specialized programming languages.
Conducts basic reviews on writing a specific programming language within a specific platform.
Assists with the design and development of specialized programming languages.
Follows an organization's standards, policies and guidelines for structured programming specifications.
Diagnoses and reports minor or routine programming language problems.

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 Working Knowledge:

Defines, creates and tests simple queries by using associated command language in a specific environment.
Applies appropriate query tools used to connect to the data warehouse.
Obtains and analyzes query access path information and query results.
Employs tested query statements to retrieve, insert, update and delete information.
Works with advanced features and functions including sorting, filtering and making simple calculations.

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.
Participates in the preparation of detailed documentation and requirements.
Utilizes specific organizational methods, tools and techniques for requirements analysis.

This position requires working onsite five days a week.

Relocation is available for this position.

Visa Sponsorship is not available for this position.

Posting Dates:

July 14, 2026 - July 21, 2026

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

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