Data Scientist

3 semanas atrás

Recife, Pernambuco, Brasil Saint-Gobain Brasil Tempo inteiro
Global leader in lightweight and sustainable construction, Saint-Gobain designs, manufactures, and distributes materials and services for the construction and industrial markets. Its integrated solutions for renovation, lightweight construction, and decarbonization of the construction and industry sectors are developed through a continuous innovation process and promote sustainability and performance.

Want to be part of this team?

Requirements:

- Bachelor's degree in areas such as Data Science, Computer Science, Engineering, Statistics, Mathematics, or related fields.
- Advanced English proficiency.
- Intermediate Spanish proficiency

Required Knowledge:

- Proficiency in Python and SQL for data processing, analysis, and model development.
- Proficiency in descriptive and inferential statistics to analyze data and draw insights.
- Expertise in building and deploying predictive models, including regression, classification, clustering, time series, and Natural Language Processing (NLP).

Desirable Knowledge:

- Generative AI: Large Language Models (LLM), Fine Tuning, Retrieval-Augmented Generation (RAG), and Agents.
- Knowledge of cloud platforms, particularly Azure.
- Familiarity with MLOps concepts and practices.
- Familiarity with industrial automation systems, including SCADA, IoT, and PLC systems.
- Knowledge of cybersecurity concepts is a plus.

Main Activities:

- Structure, clean, and analyze data, providing insights into business problems.
- Develop and validate predictive and prescriptive machine learning models.
- Build web applications and APIs to integrate machine learning algorithms into operational systems.
- Manage project lifecycle stages, applying AGILE and CRISP-DM methodologies.
- Promote data-driven culture in the organization through events, workshops, and training sessions.
- Replicate and industrialize previous projects for application in similar plants or areas, tailoring solutions as needed.
- Continuously seek opportunities to learn new tools and technologies that can solve business challenges.

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