Data Scientist

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.

IT IS YOUR TIME!

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. For nearly 100 years, we’ve 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, 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.

If you are looking for personal and professional growth, in a company with an inclusive culture, which seeks equity, respects differences and believes in people's 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:

• Don’t 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 decision‑making 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 analytics—supporting forecasting, scenario analysis, optimization, and data‑driven 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 semi‑structured 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 decision‑making.

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 data‑driven 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 data‑driven decision‑making across Finance and related areas.

What You Will Have:

Analytical thinking & problem‑solving: 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, trade‑offs, and limitations clearly to technical and non‑technical 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 company's official channels (www.caterpillar.com/careers.html; https://www.linkedin.com/company/caterpillar-inc), and official Caterpillar emails are mandatory followed by the domain @cat.com. 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: https://www.caterpillar.com/pt/careers/apply-now/help.html



#onsite

Posting Dates:

May 8, 2026 - May 15, 2026

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

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