Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Role Summary
As a Data Scientist, you will play a key role in building the next evolution of analytics at Caterpillar. You will work with internal customers to understand complex, nuanced problems and partner with product service engineers, dealers, and other product group engineers to design data products to answer their questions. This role sits in the Medium Wheel Loader Product Support organization and will work cross-functionally to support decision makers across all of the global product support teams.
What You Will Do (Job Duties)
- Lead large-scale data collection, mining, processing, and modeling. Apply natural language processing, text analytics, and machine learning to expand semantic data capabilities.
- Define analysis requirements and scope, then present actionable insights to leaders through clear data visualizations.
- Research and optimize data models and algorithms to improve analytical accuracy and effectiveness.
- Collaborate with engineers to translate data insights into actionable requirements that support equipment operation and the development of systems integrated with machine hardware.
What You Will Have (Core Skills)
Business Data Analysis: Skilled in using SQL, Dashboards (Tableau, Power BI), Python, Microsoft Excel, PowerPoint, Snowflake or cloud data services. Experience with data analytics techniques, automation, data science, AI to drive business KPI results.
Accuracy and Attention to Detail: Demonstrates working knowledge of review methods and quality controls to process detailed information accurately, verify outputs, assess errors or omissions, and prevent recurrence.
Effective Communications: Excellent oral and written communication skills. Demonstrated ability to effectively communicate and collaborate with internal and external business partners including senior leaders. Excellent human relations skills to develop a collaborative environment with leadership and key stakeholders.
Analytical Thinking: Applies working knowledge of structured analysis to define business problems, identify key factors and stakeholders, evaluate patterns and trends, and recommend effective solutions using sound judgment.
Requirements Analysis: Applies working knowledge of established methods to partner with customers and users, define and confirm requirements, and produce clear business and system documentation using appropriate tools and standards.
Top Candidates Will Have
- Experience working with mechanical systems or large construction equipment.
- Proven ability to translate complex datasets and analytical findings into clear, actionable instructions and documentation.
- Experience transforming large, complex datasets into actionable business insights.
Strength in statistical analysis, data mining, processing, and modeling.
- Experience applying machine learning, natural language processing, or text analytics to business challenges.
- Ability to define analytical requirements and communicate clear recommendations through compelling data visualizations.
- Proficiency with programming languages, query tools, databases, and data warehouses.
- A track record of improving data models and algorithms to increase analytical accuracy and business value.
- Strong attention to detail, analytical judgment, and the ability to partner with customers and users to translate requirements into effective solutions.
Additional Information
- This position is located in Peoria, IL
- Relocation assistance is available
- Visa sponsorship and ISE are not available
- Expected travel in this role is 10%
- Caterpillar expects employees to work onsite 5 days a week when not traveling
Summary Pay Range:
$89,210.00 - $144,960.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of 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
This position requires working onsite five days a week.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
October 15, 2026 - October 29, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.
Skills Required
- Experience with SQL, dashboards, Python, Microsoft Excel, PowerPoint, Snowflake, or cloud data services
- Working knowledge of data analytics, automation, data science, and AI techniques
- Strong analytical thinking, structured problem solving, and requirements analysis skills
- Excellent oral and written communication and collaboration skills
- Strong attention to detail and accuracy in reviewing and processing data
- Experience transforming large, complex datasets into actionable business insights
- Strength in statistical analysis, data mining, data processing, and modeling
- Experience applying machine learning, natural language processing, or text analytics to business challenges
- Experience working with mechanical systems or large construction equipment
- Experience improving data models and algorithms to increase analytical accuracy and business value
- Ability to communicate analytical findings through clear documentation and compelling data visualizations
- Ability to work onsite in Peoria, Illinois five days per week when not traveling
Caterpillar Compensation & Benefits Highlights
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Retirement Support — Retirement plans are highlighted as a standout element, with a strong company match and an additional company contribution noted for certain groups. Feedback suggests this is a notable strength of the package, with specifics dependent on plan and eligibility.
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, HSAs/FSAs, wellness resources, and mental-health support through the EAP. Feedback suggests these offerings are competitive and broadly well regarded.
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Parental & Family Support — Paid parental leave and adoption assistance are explicitly included, with adoption reimbursement and supportive leave policies emphasized. Feedback suggests family support is generous and a meaningful part of total rewards.
Caterpillar Insights
What We Do
Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing digital capabilities to our world-famous yellow iron. With over 1.5M connected assets worldwide, our teams use data, technology, advanced analytics and AI capabilities to help solve our customers' toughest challenges.
Why Work With Us
At Cat Digital, we're accelerating Caterpillar's digital transformation to help customers solve their toughest challenges. Our teams use enterprise-wide data, emerging technologies, and customer insights to deliver solutions that drive real-world impact. Join us as we create innovative experiences that help customers succeed and power the world aro
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