Senior Data Scientist We are seeking a skilled Senior Data Scientist to join our team. As a key member of our data science team, you will be responsible for collecting, cleaning, transforming, and analyzing large volumes of data. You will have the opportunity to work on challenging projects involving forecasting, clustering, LLMs, using the latest technologies and methodologies. We are seeking professionals proficient in Python and PySpark, with experience in AWS Cloud. - Develop and validate robust models for forecasting, clustering, and optimization, using Python and PySpark. - Deploy and monitor models in production, ensuring their performance and scalability. - Collaborate with engineering and product teams to integrate data solutions. Key Responsibilities: - Collect, clean, transform, and analyze large volumes of data. - Develop and validate robust models for forecasting, clustering, and optimization, using Python and PySpark. - Deploy and monitor models in production, ensuring their performance and scalability. - Efficiently utilize AWS Cloud services, with practical experience in Amazon SageMaker for model development and deployment. - Communicate insights and results clearly and concisely to non-technical stakeholders. - Identify new data science application opportunities and propose innovative solutions. Requirements: - Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. - Proven experience with Python (libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). - Practical experience with PySpark for distributed data processing. - Solid experience with AWS Cloud, focusing on Amazon SageMaker. Databricks also considered. - Track record in forecasting, clustering, and optimization projects. - Knowledge of SQL and NoSQL databases. - Ability to work independently and as part of a team. - Native Portuguese or Spanish language skills. - Advanced English language skills.