We are seeking a Senior Data Scientist with solid experience in Azure cloud data solutions to develop predictive models, machine learning pipelines, and cutting-edge analytical products. The professional will be responsible for leading data science initiatives, contributing to solution architecture, and supporting the team in the technical and strategic evolution of the area. ? Responsibilities Develop and deploy Machine Learning and Deep Learning models in Azure environments. Build data pipelines for model training, validation, and deployment. Collaborate with data engineers, analysts, and business stakeholders to transform data into actionable insights. Ensure governance, scalability, and reproducibility of models. Participate in defining data architecture and MLOps practices. Document solutions, conduct technical reviews, and promote best practices in data science. Continuously experiment and evaluate new Azure tools and frameworks. ? Technical Requirements **Mandatory:** Degree in Computer Science, Statistics, Engineering, Mathematics, or related fields. \+5 years of experience as a Data Scientist. Proven experience with Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, Data Lake, Azure Data Factory. Proficiency in Python and data libraries (pandas, scikit\-learn, PySpark, TensorFlow, or PyTorch). Knowledge of MLOps and model versioning (MLflow, DVC, etc.). Experience with SQL and integration with relational and NoSQL databases. Strong understanding of statistics, predictive modeling, and exploratory data analysis. **Desirable:** **Microsoft certifications (e.g.:** Azure Data Scientist Associate, Azure AI Engineer). Experience with Power BI and data visualization. Understanding of data architecture and feature engineering. Experience in projects involving CI/CD for models and containerization (Docker, Kubernetes). ? Soft Skills Analytical thinking and business acumen. Strong communication skills and ability to translate technical results into executive language. Collaborative mindset and ability to mentor colleagues. Proactiveness and curiosity for continuous learning.