Data Scientist

. Build the next evolution of analytics at Caterpillar .

Posted 10/15/2026full-timePeoria • Illinois • United StatesMid-LevelSenior💰 $89,210 - $144,960 per yearWebsite

Tools & technologies

CloudPythonSQLTableau

Key responsibilities & impact

Build the next evolution of analytics at Caterpillar
Work with internal customers to understand complex, nuanced problems
Partner with product service engineers, dealers, and product group engineers to design data products
Support decision makers across global product support teams
Lead large-scale data collection, mining, processing, and modeling
Apply natural language processing, text analytics, and machine learning to expand semantic data capabilities
Define analysis requirements and scope
Present actionable insights to leaders through clear data visualizations
Research and optimize data models and algorithms to improve analytical accuracy and effectiveness
Collaborate with engineers to translate data insights into actionable requirements supporting equipment operation and systems integrated with machine hardware
Travel approximately 10%

What you’ll need

Skilled in using SQL, Dashboards (Tableau, Power BI), Python, Microsoft Excel, PowerPoint, Snowflake or cloud data services
Experience with data analytics techniques, automation, data science, and AI to drive business KPI results
Working knowledge of review methods and quality controls
Excellent oral and written communication skills
Ability to communicate and collaborate with internal and external business partners, including senior leaders
Working knowledge of structured analysis to define business problems, identify key factors and stakeholders, evaluate patterns and trends, and recommend effective solutions
Working knowledge of established requirements analysis methods
Experience working with mechanical systems or large construction equipment
Ability to translate complex datasets and analytical findings into clear, actionable instructions and documentation
Experience transforming large, complex datasets into actionable business insights
Strength in statistical analysis, data mining, processing, and modeling
Experience applying machine learning, natural language processing, or text analytics to business challenges
Ability to define analytical requirements and communicate recommendations through data visualizations
Proficiency with programming languages, query tools, databases, and data warehouses
Strong attention to detail and analytical judgment
Must be able to work onsite five days a week
Visa sponsorship is not available

Comp & perks