Data Scientist I

Join Caterpillar’s Cat Digital organization as a Data Scientist I supporting the Equipment Usage Analytics team. The role focuses on building analytics to predict and measure application usage, downtime, and efficiency for a large fleet of connected assets using internal and external data.

Role Summary

You will develop analytics workflows and models that gather, mine, process, and analyze large-scale data volumes. The work includes applying Natural Language Processing, text analysis, and machine learning to produce business insights related to equipment usage and performance.

Key Responsibilities

• Perform data gathering, data mining, and data processing at large scale, including creating appropriate data models.
• Explore, promote, and implement semantic data capabilities using Natural Language Processing, text analysis, and machine learning techniques.
• Define requirements and scope for data analyses, and present/report potential business insights to management using data visualization technologies.
• Conduct research to improve data model optimization and algorithms for greater effectiveness and accuracy in analyses.

Required Qualifications

• Working knowledge of statistical tools, processes, and practices to express business results in measurable scales, supporting business decision-making.
• Working knowledge of machine learning principles, technologies, and algorithms, with the ability to develop, implement, and deliver related systems, products, and services.
• Working knowledge of applying Python to solve business challenges, including using tools, techniques, and platforms to write and modify programming.
• Working knowledge of data management systems, including the ability to use, support, and access facilities for searching, extracting, and formatting data for further use.
• Typically holds a Bachelors, Masters, or PhD in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (including Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural), or an equivalent technical degree.
• Experience applying Python (including NumPy, SciPy, pandas, etc.) to solve business challenges.
• Experience with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc. (typically 1+ years).
• Working knowledge of cloud technologies such as AWS, Azure, or Google Cloud.
• Advanced experience with version control and repositories such as GitHub.
• Must demonstrate initiative, interpersonal skills, and the ability to communicate effectively.

Technologies and Tools

• Natural Language Processing, text analysis, machine learning
• Python, NumPy, SciPy, pandas
• Data visualization technologies
• AWS, Azure, Google Cloud
• GitHub
• Regression, hypothesis testing, ANOVA, statistical process control

Location and Employment Details

• Chicago, IL (onsite)
• Position based out of the Chicago, IL office
• Relocation Assistance: NOT available
• Visa Sponsorship: NOT available now or in the future

Compensation

Estimated salary range: USD 89,210 - 144,960 per year.

Benefits

• Medical, dental, and vision benefits
• Paid time off plan (Vacation, Holidays, Volunteer, etc.)
• 401(k) savings plans
• Health Savings Account (HSA)
• Flexible Spending Accounts (FSAs)
• Health Lifestyle Programs
• Employee Assistance Program
• Voluntary Benefits and Employee Discounts
• Career Development
• Incentive bonus
• Disability benefits
• Life Insurance
• Parental leave
• Adoption benefits
• Tuition Reimbursement
• These benefits also apply to part-time employees

Posting Dates

September 17, 2026 - September 27, 2026