Technology, Digital and Data

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.

As a Senior Data Scientist, you will lead analytics programs, provide technical direction, and partner with cross functional stakeholders to deliver high impact solutions for Caterpillar business units, dealers, and customers.

The Senior Data Scientist Will

Lead and contribute to 3 - 4 concurrent analytics projects with significant business impact

Apply advanced statistical and machine learning techniques to solve business problems

Coach and mentor other Data Scientists in model development, validation, and deployment

Communicate complex analytical results clearly to non-technical audiences

Advanced proficiency in Python and SQL.

Comprehensive knowledge of statistical and machine learning algorithms.

Strong command of MS Office and data visualization tools such as Power BI.

Practical experience with Deep Learning and Agentic AI

Proficiency with Snowflake and AWS

Experience with GitHub, DBT, Copilot, and cloud-native tools

Bachelor's degree in statistics, economics, mathematics, engineering, or a related quantitative discipline with 7-10 years of quantitative analytics experience; alternatively, a Master's degree with 4-6 years of relevant experience, or a PhD with 1-3 years of relevant experience

Knowledge of techniques and tools that promote effective analysis; Machine Learning : Knowledge of principles, technologies and algorithms 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.

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 the success of a system or software development project

Hybrid and flexible work environment due to the scope of role supporting global projects.

This position requires working onsite five days a week.

Relocation is available for this position.

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Senior Data Scientist (AI/ML)

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