We are passionate about technology, creativity, and challenges. If you enjoy challenges, continuous learning, and value personal connections, join us! We value diversity and believe it is essential for innovation and delivering value to our clients. All our positions are open to everyone—regardless of disability status, age, gender, sexual orientation, ethnicity, religion, or any other characteristic. If you identify with this role, come join our team! **WHAT ARE WE LOOKING FOR?** We are seeking a **Data Scientist**, at the **Senior** career level, who wants to work with us in a relaxed and dynamic environment, with continuous learning while developing large-scale projects alongside major national and international clients. We have offices in Maringá, São Paulo, and Chicago (USA), but our operations are fully remote—we prefer to call it an *anywhere office*. **WHAT WILL THIS PROFESSIONAL DO?** * Develop analytical and predictive models using data stored in Snowflake. * Explore, analyze, and transform large volumes of data to generate insights and support decision-making. * Collaborate with engineering and data architecture teams to ensure data availability, quality, and appropriate structure. * Build analytical pipelines and perform feature engineering using structured and semi-structured data. * Use advanced SQL for exploratory analysis, data validation, and construction of analytical datasets. * Monitor data quality, consistency, and reliability used in models. * Document analyses, models, and results to ensure reproducibility and analytical governance. * Support business areas in interpreting results and providing data-driven recommendations. **WHAT IS REQUIRED FOR THIS POSITION?** * Proven experience as a Data Scientist at the Senior level. * Strong proficiency in advanced SQL and data analysis on Snowflake. * Practical experience with ELT pipelines and consumption of analytical data. * Experience in cloud-first environments (AWS, Azure, or GCP). * Experience with code versioning (Git) and best practices in analytical development. * Ability to collaborate effectively with technical and business teams. **WHAT WOULD BE A PLUS?** * Snowflake SnowPro Core certification or higher. * Experience with tools such as DBT, Airflow, or similar for analytical pipeline support. * Experience with Spark or other distributed processing tools. * Knowledge of analytical data architecture (modern Data Warehouse, Lakehouse). * Experience applying statistical or machine learning models to corporate data. **PROCESS STEPS:** * Application * Cultural fit interview * Technical interview * Client interview * Hiring