Data Scientist (DS)

• 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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