About this opportunity
Caterpillar lists this Data Scientist I opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.