Industrial Data Scientist – NLP/ML for Equipment Analytics

Caterpillar; Peoria (IL); On-site; USD 89,000 - 145,000; Full time

Benefits offered by this job

Relocation assistance

Career development

Onsite five days a week

Job summary

Caterpillar in Peoria, IL seeks a Data Scientist to advance analytics across global product support teams. You will lead data collection, NLP, ML, and data modeling to deliver actionable insights for internal partners, translating complex datasets into clear business recommendations.

Collaboration with engineers and product teams enables data products that support equipment operation and systems integration with machine hardware.

Qualifications

• Experience with data analytics techniques, automation, data science, AI to drive KPI results.
• Excellent oral and written communication with senior leaders and internal/external partners.
• Experience applying machine learning, natural language processing, or text analytics to business challenges.

Responsibilities

• Lead large-scale data collection, mining, processing, and modeling using NLP, text analytics, and ML.
• Define analysis requirements and scope, then present actionable insights with 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 for equipment operation and systems integration.

Skills

SQL

Tableau/Power BI

Python

Excel

PowerPoint

Snowflake/cloud data services

NLP/ML/AI

Communication skills

Analytical thinking

Tools

Tableau

Power BI

SQL

Python

Snowflake

Job description

Caterpillar in Peoria, IL seeks a Data Scientist to advance analytics across global product support teams. You will lead data collection, NLP, ML, and data modeling to deliver actionable insights for internal partners, translating complex datasets into clear business recommendations.

Collaboration with engineers and product teams enables data products that support equipment operation and systems integration with machine hardware.