Senior Data Scientist: Applied AI & Analytics Lead

Caterpillar Inc.; Chicago (IL); On-site; USD 113,000 - 183,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Health Savings Account (HSA)

Job summary

Caterpillar Inc. is seeking a Senior Data Scientist in Chicago to drive analytics and applied AI initiatives within Cat Digital. You will partner with business leaders to turn complex data into actionable insights and scalable digital solutions.

The role requires strong Python/SQL, statistics, data visualization, and cloud experience, with a focus on mentoring team members and delivering measurable outcomes that support sales and services growth.

Qualifications

• Bachelor’s degree in Statistics, Economics, Mathematics, Data Science, or a related quantitative field.
• Analytics experience or related graduate education.
• Experience collaborating with cross-functional teams to deliver data-driven insights.
• Applied AI, advanced statistics, forecasting or production experience preferred.

Responsibilities

• Lead multiple analytics and applied AI initiatives using statistical and ML methods to drive business growth.
• Translate business needs into insights, models and digital solutions.
• Mentor data scientists in development, validation and deployment of analytical solutions.
• Research and apply emerging AI techniques to improve outcomes and expand capabilities.
• Communicate complex findings clearly to technical and non-technical audiences.

Skills

Machine Learning

Python

SQL

Data Visualization

Statistics

Analytical Thinking

Attention to Detail

Data Management

Education

Bachelor's in Statistics or related field

Tools

Python libraries (NumPy, SciPy, Pandas)

SQL databases

Data Visualization tools

Git

Job description

Caterpillar Inc. is seeking a Senior Data Scientist in Chicago to drive analytics and applied AI initiatives within Cat Digital. You will partner with business leaders to turn complex data into actionable insights and scalable digital solutions.

The role requires strong Python/SQL, statistics, data visualization, and cloud experience, with a focus on mentoring team members and delivering measurable outcomes that support sales and services growth.