Top Data Science Jobs in Rio de Janeiro

The Program Manager will lead digital transformation projects, develop strategies aligned with client objectives, manage client relationships, perform risk management, and guide clients through change management using analytical skills and technology awareness.

As a Senior Data Scientist, you will build data models, dashboards, and reports to provide insights for mobile subscription developers, driving data-informed decisions and enhancing user experience. You will collaborate with teams to improve data pipelines and develop predictive models, ultimately launching new features to benefit customers.

As a Senior Data Scientist at Flinks, you will lead the development and deployment of machine learning models, investigate data quality issues, collaborate with engineering teams, mentor colleagues, and contribute to research that transforms the financial ecosystem using advanced data science techniques.

As a Data Scientist at TRM, you will enhance blockchain attribution efforts, collaborate with a team to develop solutions, and respond to client research requests while ensuring high-quality data and intelligence accuracy.

The Senior Data Scientist will develop and fine-tune Visual Language Models (VLMs) for multimodal document understanding, implement data preparation processes, leverage transfer learning, and collaborate with teams to enhance model performance and deployment.

As a Senior Data Scientist at TRM, you'll lead the development of machine learning models and algorithms to detect cryptocurrency fraud and financial crime. You will work with engineers and researchers to analyze complex blockchain data, develop interactive visualizations for law enforcement, and stay updated with blockchain advancements.

The Senior Data Scientist will design, build, and train algorithms and models to improve business processes, collaborating with stakeholders to translate business requirements. Responsibilities include conducting data manipulation, creating reports and visualizations, and working with interdisciplinary teams to support model longevity and data science practices.

The Data Scientist will handle and analyze complex data, develop predictive models, and collaborate with stakeholders to meet business needs. Responsibilities include data visualization, compliance, process automation, and continuous learning to stay updated on trends. Communication skills are vital for explaining technical outcomes to non-technical audiences.