Caterpillar Inc. · 21 hours ago
Data Scientist II, Downtime and Condition Monitoring
Caterpillar Inc. is a global leader in manufacturing construction and mining equipment, dedicated to building a sustainable world. The Data Scientist II will join the Condition Monitoring Analytics team to perform analytical and statistical modeling on large datasets to support service growth and downtime prevention strategies.
ConstructionMachinery ManufacturingManufacturingMechanical Engineering
Responsibilities
Performing the data gathering, mining and processing processes in huge volume; creating appropriate data models
Exploring, promoting, and implementing advanced statistical techniques (such as time series, NLP, genAI…), including tests, validation and delivery
Implement innovative data model optimization framework and algorithms to improve effectiveness and accuracy on models in production
Provide support to technical partners as well as business partners to drive adoption
Defining requirements and scope of data analyses; create documentation, compelling presentations and visualizations to explain complex technical algorithms and impacts into understandable business language
Qualification
Required
Analytical Thinking: Working knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems
Machine Learning: Working knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services
Programming Languages: Working knowledge of basic concepts and capabilities of applying Python and SQL programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages
Query and Database Access Tools: Working knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use
Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Physics, 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 experience applying Python (NumPy, SciPy, pandas, etc.) and SQL programming to solve business challenges is a must
Extensive experience with advanced data analysis and statistical methods (typically 4+ years)
Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks
In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field
Advanced experience with version control / repositories such as GitHub
Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively
Preferred
Working experience with heavy equipment engineering is an advantage
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
Company
Caterpillar Inc.
For 100 years, we’ve been helping customers build a better, more sustainable world.
Funding
Current Stage
Public CompanyTotal Funding
$3.51BKey Investors
US Department of EnergyAdvanced Propulsion Centre UK
2025-08-28Post Ipo Debt· $3.5B
2024-10-31Grant· $5.04M
2019-06-23Grant
Leadership Team
Recent News
2026-01-22
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