Caterpillar Inc. · 1 day ago
Aftermarket Data Scientist I
Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. The role involves performing analytical tasks within the Analytics Engineering team, focusing on data gathering, mining, and supporting data-driven business decisions.
ConstructionManufacturingMechanical EngineeringMachinery Manufacturing
Responsibilities
Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models
Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques
Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies
Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses
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
Programming Languages: Basic knowledge of basic concepts and capabilities of programming; 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
Requirements Analysis: Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project
Typically, a Bachelors, Masters, or PhD degree in Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree
Working experience applying SQL and Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges
Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.)
In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field
Working 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
Excellent organizational skills, with the ability to manage multiple requests and priorities simultaneously
Preferred
Experience with Azure DevOps, AWS Cloud, Managed Warehouse for Apache Airflow (MWAA), Github, Snowflake/Snowpark pipelines, SQL, Python, AI/ML, Microsoft Office, Power App Tools, Power BI, and automation capabilities
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
2026-02-12
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2026-02-12
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