Data Scientist I — Analytics for Connected Assets

Caterpillar Financial Services Corporation; Chicago (IL); On-site; USD 89,000 - 145,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Career Development

Tuition Reimbursement

Voluntary Benefits and Employee Dis»

Job summary

Caterpillar Inc. in Chicago, IL is seeking a data analytics professional to join Cat Digital's Equipment Usage Analytics team.

You will develop next-generation analytics for the world's largest fleet of connected assets, leveraging internal and external data to predict applications and downtime and measure efficiency. The role emphasizes applying Python, statistics, and ML techniques, exploring semantic data, and delivering actionable insights with data visualization tools.

Qualifications

• Degree in Applied Statistics, Data Science, BI & Analytics, or related field.
• Experience applying Python (NumPy, SciPy, pandas) to solve business challenges.
• 1+ years in advanced data analysis and statistics.
• Cloud technologies experience (AWS/Azure/Google Cloud).
• Experience with GitHub or similar version control.

Responsibilities

• Gather, mine, and process data at large scale to build data models.
• Explore semantic data capabilities using NLP, text analysis, and ML.
• Define data analysis requirements and present insights with visualizations.
• Research data model optimization to improve accuracy.

Skills

Business Statistics

Machine Learning

Python

SQL

Education

Degree in Statistics/Data Science/CS

Tools

AWS

Azure

Google Cloud

GitHub

Job description

Caterpillar Inc. in Chicago, IL is seeking a data analytics professional to join Cat Digital's Equipment Usage Analytics team.

You will develop next-generation analytics for the world's largest fleet of connected assets, leveraging internal and external data to predict applications and downtime and measure efficiency. The role emphasizes applying Python, statistics, and ML techniques, exploring semantic data, and delivering actionable insights with data visualization tools.