Senior Data Scientist - Risk Analytics (Contract, São Paulo)

First Help Financial; São Paulo; On-site; BRL 120,000 - 180,000; Full time

Job summary

Data Scientist role in Piracicaba, São Paulo, at Caterpillar Inc. Join a global team turning high-volume data into actionable insights across the data lifecycle. You will model, apply machine learning and visualization techniques to support business decisions.

You will develop semantic-data capabilities using NLP and text analytics, collaborating with stakeholders to translate needs into analytical requirements, and evaluate models to improve accuracy and impact.

Qualifications

• Experience with processing large volumes of structured and unstructured data.
• Experience applying ML models and evaluating results.
• Familiarity with NLP and text analytics for semantic-data capabilities.
• Strong programming skills and ability to translate business needs into analytical requirements.

Responsibilities

• Gather, mine, clean and process large volumes of structured and unstructured data.
• Create data models to support analytical and business needs.
• Explore semantic-data capabilities using Natural Language Processing and text analytics.
• Evaluate models and algorithms to improve analytical accuracy and effectiveness.

Skills

Data mining and processing

Machine learning

NLP

Text analytics

Programming

Data visualization

Data quality

Job description

Data Scientist

Piracicaba, São Paulo

Full time

R

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 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.

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