Brazil
Pavago
Gerdau
Talent Pool - Data
Brazil
São Paulo, São Paulo, Brazil
PythonSQLAWS
Automatic translation. Check the original.
About the opportunity
With 124 years of history, Gerdau is the largest Brazilian steel producer and one of the main suppliers of long steel in the Americas and special steels in the world. In Brazil, it also produces flat steel, in addition to iron ore for its own consumption. Furthermore, it has a new business division, Gerdau Next, with the objective of undertaking in segments adjacent to steel. With the purpose of empowering people who build the future, the company is present in several countries and has more than 30 thousand employees across all its operations.
The largest recycler in Latin America, Gerdau uses scrap metal as an important raw material: more than 70% of the steel it produces is made from this material. Every year, 11 million tons of scrap metal are transformed into various steel products. The company is also the world's largest producer of charcoal, with more than 250 thousand hectares of forest base in the state of Minas Gerais.
As a result of its sustainable production matrix, Gerdau currently has one of the lowest average greenhouse gas emissions (CO₂e), at 0,91 t of CO₂e per ton of steel, which represents approximately half the global industry average of 1,91 t of CO₂e per ton of steel (worldsteel). By 2031, Gerdau's goal is to reduce carbon emissions to 0,82 t of CO₂e per ton of steel. Gerdau's shares are listed on the stock exchanges of São Paulo (B3) and New York (NYSE).
🚀 Gerdau Talent Pool — Data, Analytics & AI
At Gerdau, we believe in the power of data to transform the industry. We are looking for professionals passionate about technology, innovation, and artificial intelligence to lead strategic and scalable solutions. If you are an expert in Data Science, Data Engineering, Machine Learning, or AI, we want to know you.
🧠 Responsibilities
- Lead data science and analytics projects
- Implement ML and AI models with MLOPS
- Apply optimization and operational research techniques
- Engage in data engineering and datamart modeling
- Collaborate with business and technology areas
📚 Requirements
- Degree in technology or quantitative fields
- Experience with predictive models, clustering, recommendation, and optimization
- Proficiency in Python, SQL, ML libraries, and tools like Databricks and AWS
- Experience with pipelines, version control, collaborative notebooks, and cloud environments
- Advanced English
🌟 Differentiators
- Spark, CI/CD, Generative AI, RAG, intelligent agents
- Collaborative platforms and modern analytical environments
- Data extraction and orchestration tools
👉 If you want to be part of Gerdau's digital transformation, apply to our talent pool and come build the future with data and purpose.
#LI-RM1
We uphold the principle of promoting a diverse and inclusive environment. We respect and value diversity, therefore all qualified individuals will be considered for vacancies without distinction of disability, gender, age, sexual identity or orientation, nationality, race, religion, or any other characteristic.
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