Data Scientist

Career Area:

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 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.

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Job Summary:

Turn complex, high-volume data into insights that help shape better business decisions.

As a Data Scientist in Piracicaba, you will work across the data lifecycle, from gathering and mining information through modeling, machine learning and visualization. You will help develop semantic-data capabilities using Natural Language Processing (NLP), text analytics and machine learning, while partnering with stakeholders to translate business needs into analytical requirements. You will also evaluate models and algorithms to improve analytical accuracy and effectiveness.

This role is well suited to someone who combines curiosity, analytical thinking and programming skills with a strong commitment to data quality.

What you will do:

• Gather, mine, clean and process large volumes of structured and unstructured data.
• Create appropriate data models to support analytical and business needs.
• Explore and implement semantic-data capabilities using Natural Language Processing, text analysis and machine learning.
• Partner with stakeholders to define analytical requirements, questions and project scope.
• Translate complex analysis into clear business insights and communicate results using data-visualization approaches.
• Research and optimize data models and algorithms to improve the effectiveness and accuracy of analyses.
• Use rigorous validation and quality checks to help ensure trustworthy analytical outputs.

What you will have:

• Business statistics: ability to generate and interpret statistical information and understand concepts such as sampling, distributions and standard deviation.
• Machine learning: working knowledge of ML techniques, descriptive and inferential statistics, data mining and data cleaning, with experience using languages/tools such as Python or R.
• Analytical thinking: ability to frame problems, compare alternatives, recognize meaningful data patterns and reach evidence-based conclusions.
• Accuracy and attention to detail: ability to work reliably with large quantities of detailed information, balancing analytical speed with quality.
• Data querying and requirements analysis: ability to retrieve and analyze data while collaborating with users and stakeholders to understand their requirements.

Basic requirements:

• Bachelor's degree in Computer Science, Mathematics, Physics, Data Science and Economics.
• Pre-Advanced English.
• +2 years of professional experience utilizing Data Science techniques.
• Working knowledge of statistical concepts and their application to business problems.
• Working knowledge of machine learning principles, technologies and algorithms.
• Ability to work with Python, R and/or SQL for machine-learning and analytical activities.
• Working knowledge of programming concepts and practices.
• Experience querying, extracting, filtering and analyzing data from databases or data warehouses.
• Ability to gather and document business and information requirements.
• Demonstrated analytical thinking and strong attention to detail.

Top candidates will also have:

• Experience applying data science to manufacturing, industrial, engineering or operational problems.
• Experience communicating analytical findings to technical and non-technical audiences.
• Exposure to production-oriented machine-learning workflows.
• Experience translating ambiguous business questions into measurable analytical problems.

Note: This position requires the candidate to work on-site five days a week.

Some of the offered benefits*:

• Medical plan
• Dental plan
• Medicines reimbursement
• Wellhub
• Psychological, Legal, Social and Finance Support Program
• Private pension plan
• Profit share
• 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

Posting Dates:

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

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