Data Scientist: AI & Predictive Analytics for Quality

Caterpillar Financial Services Corporation; Peoria (IL); On-site; USD 97,530 - 146,290; Full time

Benefits offered by this job

Career development

Incentive bonus

Parental leave

Tuition reimbursement

Healthcare benefits

401(k) plans

HSA

FSAs

Job summary

Caterpillar Inc. is seeking a Data Scientist to transform enterprise data into actionable insights that improve supplier quality and reduce warranty exposure. You will leverage machine learning, predictive analytics, BI, and data visualization to identify risks, uncover trends, and support critical business decisions.

This role supports AI, automation, and Copilot-enabled solutions, offering opportunities to shape future analytics capabilities while working with emerging technologies.

Qualifications

• Strong background in manufacturing or supplier quality analytics.
• Experience with Python or R for analytics.
• Experience building BI dashboards and visualizations that drive action.
• Ability to quantify business value from analytics.

Responsibilities

• Develop and maintain BI dashboards and data visualizations.
• Build predictive analytics and ML models for quality risks.
• Analyze large datasets from multiple systems to uncover patterns.
• Collaborate with quality, procurement, engineering and stakeholders.
• Prepare, transform, and integrate data for modeling.
• Support cloud-based analytics and model deployment.

Skills

Machine learning

Predictive analytics

Data visualization

Python

SQL

Tools

Python

R

SQL

Job description

Caterpillar Inc. is seeking a Data Scientist to transform enterprise data into actionable insights that improve supplier quality and reduce warranty exposure. You will leverage machine learning, predictive analytics, BI, and data visualization to identify risks, uncover trends, and support critical business decisions.

This role supports AI, automation, and Copilot-enabled solutions, offering opportunities to shape future analytics capabilities while working with emerging technologies.