Data Scientist
Job Summary
Career Area:
Technology Digital and DataJob Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar yourejoining 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 dontjust 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.
IT IS YOUR TIME!
Caterpillar Inc. is the worlds leading manufacturer of construction and mining equipment off-highway diesel and natural gas engines industrial gas turbines and diesel-electric locomotives. For nearly 100 years weve been helping customers build a better more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services backed by our global dealer network provide exceptional value that helps customers succeed.
When you join Caterpillar youre 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 dont 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.
If you are looking for personal and professional growth in a company with an inclusive culture which seeks equity respects differences and believes in peoples potential this is the right place. We consider people with disability candidates and those with diversity in gender culture ethnicity religion age generation race nationality and sexual orientation.
Important:
- Dont forget to include a resumé in English in your profile in Workday
- Please check your application status directly in the Workday system as this is our primary method of communication. All updates regarding your application will be reflected there.
What you will do:
Data Science is responsible for transforming data into advanced analytical and predictive insights that support decisionmaking across the organization. The Data Science function explores analyzes and models data using statistical methods machine learning techniques and analytical frameworks to uncover patterns trends risks and opportunities.
In Finance Data Science should be positioned as a strategic enabling function complementing Business Intelligence by going beyond descriptive analyticssupporting forecasting scenario analysis optimization and datadriven automation. This role works in close alignment with IT and Data Platforms to ensure scalable reliable and governed analytical solutions.
Additionally the Data Scientist supports the planning and execution of Data Analytics initiatives contributing to project scoping metrics definition experimentation documentation and delivery under Agile or hybrid project models.
What you will do:
Data exploration & analysis: Explore structured and semistructured data to understand business behavior identify patterns outliers and relationships and generate hypotheses.
Statistical & predictive modeling: Develop test and support statistical predictive or machine learning models (under guidance for junior levels) to support forecasting risk analysis and decisionmaking.
Data preparation & feature engineering: Prepare datasets through cleansing transformation and feature creation to ensure analytical reliability and usability.
Insights & storytelling: Translate analytical outputs into clear actionable insights explaining assumptions limitations and business implications to stakeholders.
Automation & advanced analytics enablement: Support automation and datadriven solutions by embedding analytics into business processes dashboards or Power Platform assets.
Model monitoring & continuous improvement: Assist in validating results monitoring model performance and improving analytical approaches over time.
Business partnership: Translate business questions into analytical problems and support the adoption of datadriven decisionmaking across Finance and related areas.
What you will have:
Analytical thinking & problemsolving: Applies structured analytical approaches statistical reasoning and curiosity to solve business problems.
Accuracy and attention to detail: Ensures data quality model consistency and reliability of analytical outputs.
Effective communication: Explains analytical results tradeoffs and limitations clearly to technical and nontechnical audiences.
Collaboration & stakeholder management: Works effectively with Finance IT and business teams aligning expectations and priorities.
Ownership accountability & adaptability: Takes responsibility for analytical deliverables manages competing priorities and adapts to evolving requirements.
Data gathering & Agile support: Supports backlog refinement by translating business problems into analytical tasks data requirements and experimentation plans.
Basic Requirements:
University degrer
English Intermediary
Knowledge in SQL Server (for querying data manipulation and complex joins)
Knowledge with Python for data analysis
Advanced Microsoft O365 (Power Platform - Power BI Apps Automate)
Top Candidates will also have:
Advanced Experience with Python for data analysis (e.g. pandas numpy matplotlib scikit-learn).
Advanced SQL (CTEs performance tuning complex joins).
Familiarity with:
Data modeling concepts
Statistics and basic machine learning techniques
ETL / data preparation processes
Exposure to Agile or project management methodologies (Scrum Kanban Lean Black Belt).
Experience working with large datasets or enterprise systems (ERP SAP is a plus).
Note: This position requires the candidate to work onsite five days a week.
Some of the offered benefits*:
Medical plan
Dental plan
Medicines reimbursement
Psychological Legal Social and Finance Support Program
Private pension plan
Profit share
Meal assistance
Christmas basket
Transportation
Life and personal insurance
Extended maternity and paternity leave
Employee resources group (Young Professional Women in Networking LAMBDA (LGBTQIA) Latin Group and Active in Sport
*Caterpillar reserves the right to change or modify benefits at any time subject prior notice and in compliance with legal requirements. Benefit elegibility may vary by position and location
The Recruitment & Selection area emphasizes that it does not use personal emails and/or emails from other domains (@gmail @hotmail etc.) to contact candidates. Available vacancies are only advertised through the companys official channels ( and official Caterpillar emails are mandatory followed by the domain @. Also the company does not request any type of payment (bank transfer pix etc.) for the purposes of the selection process. For more information click on the link: Dates:
May 8 2026 - May 15 2026Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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Required Experience:
IC
About Company
Caterpillar is the world’s leading manufacturer of construction and mining equipment, diesel and natural gas engines, industrial turbines and diesel-electric locomotives.