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.

Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.

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.

If you are looking for personal and professional growth, in a company with an inclusive culture, which seeks equity, respects differences and believes in people's potential, this is the right place. We consider people with disability candidates and those with diversity in gender, culture, ethnicity, religion, age, generation, race, nationality and sexual orientation.

IT IS YOUR TIME

Job Summary

Turn complex, high-volume data into insights that help shape better business decisions.

What you will do

• Gather, mine, clean and process large volumes of structured and unstructured data.
• Create appropriate data models to support analytical and business needs.
• Explore and implement semantic-data capabilities using Natural Language Processing, text analysis and machine learning.
• Partner with stakeholders to define analytical requirements, questions and project scope.
• Translate complex analysis into clear business insights and communicate results using data-visualization approaches.
• Research and optimize data models and algorithms to improve the effectiveness and accuracy of analyses.
• Use rigorous validation and quality checks to help ensure trustworthy analytical outputs.

What you will have

• Business statistics: ability to generate and interpret statistical information and understand concepts such as sampling, distributions and standard deviation.
• Machine learning: working knowledge of ML techniques, descriptive and inferential statistics, data mining and data cleaning, with experience using languages/tools such as Python or R.
• Analytical thinking: ability to frame problems, compare alternatives, recognize meaningful data patterns and reach evidence-based conclusions.
• Accuracy and attention to detail: ability to work reliably with large quantities of detailed information, balancing analytical speed with quality.
• Data querying and requirements analysis: ability to retrieve and analyze data while collaborating with users and stakeholders to understand their requirements.

Basic requirements

• Bachelor's degree in Computer Science, Mathematics, Physics, Data Science and Economics.
• Pre-Advanced English.
• +2 years of professional experience utilizing Data Science techniques.
• Working knowledge of statistical concepts and their application to business problems.
• Working knowledge of machine learning principles, technologies and algorithms.
• Ability to work with Python, R and/or SQL for machine-learning and analytical activities.
• Working knowledge of programming concepts and practices.
• Experience querying, extracting, filtering and analyzing data from databases or data warehouses.
• Ability to gather and document business and information requirements.
• Demonstrated analytical thinking and strong attention to detail.

Top candidates will also have

• Experience applying data science to manufacturing, industrial, engineering or operational problems.
• Experience communicating analytical findings to technical and non-technical audiences.
• Exposure to production-oriented machine-learning workflows.
• Experience translating ambiguous business questions into measurable analytical problems.

Note: This position requires the candidate t