Data Scientist II – Data Algorithms & Optimization

Caterpillar Inc.

Data Scientist II at Caterpillar Inc. delivering advanced analytics and machine learning solutions.

Posted 6/30/2026full-timePeoria • Illinois • 🇺🇸 United StatesMid-LevelSenior💰 $97,530 - $158,480 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing advanced analytical models using machine learning and statistical methods, with a strong focus on data analysis and effective communication of insights to diverse stakeholders. Proficient in Python programming and cloud technologies, with a commitment to continuous improvement in analytics practices.

Highest-signal resume keywords

Python ProgrammingMachine Learning TechniquesData Analysis and Statistical MethodsCloud Technologies (AWS, Azure, Google Cloud)Agile Environment Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical AnalysisRegressionHypothesis TestingANOVAClusteringLogistic RegressionRandom ForestsSVMNeural Networks

Soft Skills

Interpersonal SkillsEffective CommunicationStrong Initiative

Tools & Technologies

GitHubAnalytics ToolsData Quality Initiatives

Industry Keywords

Applied StatisticsData ScienceBusiness AnalyticsPredictive AnalyticsBusiness Intelligence

Tech Stack

Tools & technologies

AWSAzureCloudPython

About the role

Key responsibilities & impact

Design, develop, and maintain advanced analytical models, including machine learning and statistical approaches, to support digital products and enterprise initiatives.
Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement.
Partner with cross-functional teams to define analytical requirements and translate business questions into data science solutions.
Support data quality initiatives by validating data sources, identifying gaps, and recommending improvements.
Communicate insights and model results clearly to technical and non-technical stakeholders.
Contribute to continuous improvement of analytics tools, methodologies, and best practices within Cat Digital.

Requirements

What you’ll need

Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree.
Extensive hands-on experience: applying Python programming to solve business challenges.
Advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.
Practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
Working with generative AI, with an understanding of strengths, limitations, and responsible use considerations.
Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.
In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field.
Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.).
Advanced experience with version control / repositories such as GitHub.
Experience operating in an Agile environment.
Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.

Benefits

Comp & perks

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