Career Area:
Technology, Digital and Data
Job Description:
**Your Work Shapes the World at Caterpillar Inc. **
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
As a Senior Data Scientist within Corporate Aftermarket Finance Services, you will provide advanced analytics expertise and technical leadership to support Parts Sales to End Users (STU) reporting, forecasting, and key business initiatives.
This role is responsible for owning end-to-end data architecture and analytics solutions, from data sourcing and modeling through insights delivery and visualization. You will partner closely with cross-functional teams and senior stakeholders to ensure data accuracy, scalable reporting solutions, and actionable insights that drive business decisions.
Success in this position directly contributes to customer satisfaction, data quality, process efficiency, and continuous improvement across the organization.
What You Will Do
- Own end-to-end data architecture and analytics solutions, including the design and implementation of schemas and data models within Snowflake
- Develop and maintain scalable data pipelines to integrate and consolidate data from multiple sources into a trusted reporting environment
- Design, develop, and maintain Power BI dashboards, delivering clear and actionable insights to business stakeholders
- Support and enhance forecasting models leveraging advanced analytics and machine learning techniques, including trend analysis and outlier identification
- Serve as the primary point of contact for STU reporting, providing insights and resolving data-related questions
- Lead data validation processes, ensuring accuracy, quality, and reliability of reporting outputs
- Collaborate with cross-functional teams to define business objectives and translate them into analytical solutions
- Drive process automation and modernization efforts, including transitioning legacy systems to scalable platforms
- Maintain alignment with enterprise standards for data governance, quality, and reporting consistency
- Communicate complex technical concepts and insights effectively to senior leadership and non-technical stakeholders
What You Have
Technical and Analytical Expertise
- Extensive knowledge of statistical methods, modeling techniques, and analytical tools used to solve complex business problems
- Knowledge of principles, technologies and algorithms of machine learning and deep learning, with demonstrated ability to develop, implement and deliver related solutions
- Experience with forecasting, predictive analytics, and advanced data analysis
- Strong analytical thinking and problem-solving capabilities, with the ability to identify root causes and develop effective solutions
Data Engineering and Platforms
Advanced proficiency in:
- SQL (including Snowflake SQL)
- Python
Hands-on experience with:
- Snowflake (data warehousing and architecture)
- Power BI (dashboard development and insights delivery)
- Cloud platforms such as AWS (S3, Glue, Lambda, EC2, or equivalent)
- Alteryx (used in current-state processes and data transformation workflows)
Ability to design, build, and manage end-to-end data pipelines and reporting solutions
Business Partnership and Communication
- Proven ability to work effectively with senior stakeholders and cross-functional teams
- Strong communication skills, with the ability to translate complex data insights into clear, actionable business recommendations
- High attention to detail with a focus on data accuracy, quality, and efficiency
Execution and Ownership
- Demonstrated ability to manage and prioritize multiple, broadly scoped initiatives independently
- Experience owning analytical processes and driving continuous improvement initiatives
What Will Set You Apart
- 5+ years of experience delivering end-to-end analytics solutions, from data pipeline development through insights delivery
- Experience with AWS Cloud platform and AWS Glue
- Proficiency in R in addition to Python and SQL
- Experience in data governance, analytics transformation, or system migration initiatives
- Familiarity with Agile methodologies and tools such as Azure DevOps
- Ability to clearly communicate complex technical concepts to diverse audiences
Additional Information
- Location: Irving, TX
#LI
Summary Pay Range:
$112,710.00 - $183,140.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of 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
Posting Dates:
June 5, 2026 - June 12, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
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