Description: Requirements * Solid experience as a Data Scientist or in related areas; * Proficiency in Python and data libraries (Pandas, NumPy, Scikit-learn); * Experience with statistical modeling and machine learning; * Knowledge of SQL and database manipulation; * Experience with data visualization and analytical storytelling; * Ability to translate business problems into analytical solutions. Preferred Qualifications: * Building and maintaining data pipelines; * Experience with Google Cloud Platform (BigQuery, Vertex AI); * Knowledge of generative AI and automation; * Experience with geospatial data or Google Earth Engine; * GCP Professional Data Engineer or Machine Learning Engineer certification. Key Responsibilities * Develop, train, and validate statistical and machine learning models; * Conduct exploratory data analysis (EDA) and generate insights for decision-making; * Perform data cleaning, transformation, and integration; * Work with large volumes of structured and unstructured data; * Support AI, advanced analytics, and automation initiatives; * Document models, analyses, and processes; * Collaborate with cross-functional teams (engineering, product, and business); * Ensure data quality, performance, and governance. 2512220202491932564