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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
Tech Stack
Tools & technologiesAWSAzureCloudPython
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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningStatistical AnalysisRegressionHypothesis TestingANOVAClusteringLogistic RegressionRandom ForestsSVMNeural Networks
Soft Skills
Interpersonal SkillsEffective CommunicationStrong Initiative