Requirements: -Bachelor's degree in 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. -Solid understanding of descriptive and inferential statistics. -Expertise in developing and deploying predictive models (e.g., regression, classification, clustering, time series, NLP). Desirable Knowledge: -Generative AI: LLMs, Fine-Tuning, RAG (Retrieval-Augmented Generation), and Agents. -Experience with cloud platforms, particularly Azure. -Familiarity with MLOps practices. -Understanding of industrial automation systems (SCADA, IoT, PLC). -Knowledge of cybersecurity concepts is a plus. Main Responsibilities: -Structure, clean, and analyze data to generate actionable insights. -Develop and validate machine learning models to support business decisions. -Build web applications and APIs to operationalize ML solutions. -Manage project lifecycle using AGILE and CRISP-DM methodologies. -Foster a data-driven culture through internal events, workshops, and training. -Replicate and adapt previous projects for other plants or business units. -Stay up to date with new tools and technologies to solve emerging challenges. Benefits Include: -Profit-sharing program (PLR) based on business goals and performance. -Medical and dental insurance, including options for dependents. -Meal and grocery allowance. -Private pension plan with company match. -Group life insurance. -End-of-year holiday gift package for employees and children. -Employee Stock Purchase Plan (PEG – Saint-Gobain Group). -Pharmacy discount program. -Parking spot or public transport allowance. -Exclusive gym membership discounts via Wellhub. Location: Barra Funda - São Paulo/SP Hybrid Type: Full-Time | Permanent

Exigências

• Escolaridade Mínima: Ensino Superior

Habilitada para pessoa com deficiência