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Data Scientist

Caterpillar East Peoria, IL

East Peoria, IL

Today

$98k - $158k/yr Full time Analytics Artificial Intelligence Data Analysis

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Job Description

Caterpillar is seeking a Data Scientist to support its Power and Energy Drivetrain team through analysis of large volumes of data and development of practical, data-driven solutions. This onsite role focuses on building and refining data models, applying Natural Language Processing and machine learning, and communicating findings to management through data visualization.

What you’ll do

Lead data gathering, data mining, and data processing for very large volumes, creating data models that fit the analysis goals.
Explore, promote, and implement semantic data capabilities using Natural Language Processing, text analysis, and machine learning techniques.
Help define analysis requirements and scope, then present business insights to management using data visualization technologies.
Conduct research to optimize data models and algorithms to improve effectiveness and accuracy.
Design and develop solutions by collaborating with senior stakeholders and business users, gathering VOB/VOC and business requirements, and preparing implementation plans for deployment.
Contribute to strategic initiatives, including development of standardized best practices, offerings, services, and associated tools and training.

What you bring

Knowledge of statistical tools, processes, and practices to describe business results in measurable terms and support business decisions.
Ability to explain the basic decision process tied to specific statistics.
Capability to work with basic statistical functions on a spreadsheet or calculator.
Understanding of common statistical errors, misinterpretations, and misrepresentations, including why they occur.
Familiarity with sample size characteristics, normal distributions, and standard deviation; ability to generate and interpret basic statistical data.
Commitment to accuracy, with the ability to complete tasks with high precision.
Strong attention to detail when processing large quantities of information and an ability to balance speed and accuracy.
Experience evaluating and contributing to best practices, including cross-checking approaches and quality assurance tools, techniques, and standards.
Ability to use techniques that support effective analysis, identify root causes of organizational problems, and propose alternative solutions.
Comfort defining problems and assessing significance, and comparing two or more alternative solutions systematically.
Skill using visual/analytical methods such as flow charts, Pareto charts, and fish diagrams to identify meaningful data patterns.
Ability to apply logic and intuition to interpret data meaning and draw conclusions.
Knowledge of machine learning principles, technologies, and algorithms, with ability to develop, implement, and deliver related systems, products, and services.
Experience completing tasks and initiatives using machine learning technologies, including search engine optimization.
Use of tools and techniques for descriptive and inferential statistics.
Hands-on use of programming languages and tools for machine learning, including R and Python.
Ability to perform data mining and cleaning activities.
Capacity to diagnose and report minor or routine issues related to programming languages.
Knowledge of data management systems, including using and supporting access for searching, extracting, and formatting data.
Ability to define, create, and test simple queries using command language in a specific environment.
Ability to apply query tools to connect to a data warehouse, analyze query access path information and results, and use tested query statements to retrieve, insert, update, and delete information.
Working knowledge of advanced query features such as sorting, filtering, and making simple calculations.
Knowledge of business process improvement best practices, including methods to identify, evaluate, introduce, and implement more efficient approaches.
Ability to move beyond reporting by translating data into recommendations that drive business decisions and process improvements.
Experience working with enterprise data platforms such as Snowflake, including querying, validating, and connecting data sources to reporting and visualization tools.

Technologies you’ll use

Natural Language Processing
Machine learning
Search engine optimization
R
Python
Snowflake

Location and schedule

East Peoria, IL (onsite)
Onsite requirement: five days a week

Compensation

Pay range: USD 97,530 - 158,480 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

Additional information

Relocation is not available for this position.
Sponsorship is not offered for this position.
Visa Sponsorship is not available for this position.

Posting dates: September 17, 2026 - September 24, 2026

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