Job Summary: Data Scientist to provide technical leadership for AI projects, develop Machine Learning and GenAI models, and integrate solutions with a business-oriented perspective. Key Highlights: 1. Technical leadership in Data Science and AI projects 2. Development and evolution of Machine Learning and GenAI models 3. Global presence and dynamic work environment The first thing you need to know is that here you won’t fall into routine. Radix develops solutions for companies across diverse sectors and industries. Each project involves different technologies, solutions, and deadlines—giving you the opportunity to tackle and experience varied challenges. Beyond our operations across Brazil—with offices in Rio de Janeiro, São Paulo, and Belo Horizonte—we also have subsidiaries in the United States, further consolidating Radix as a **global** company. Do you want to be part of this story and turn ideas and dreams into reality? **As a Data Scientist, you will:** * Provide technical leadership for Data Science and AI projects, supporting strategy definition, solution design, and delivery quality standards. * Guide junior and mid-level professionals, promoting best practices in data science, engineering, and documentation. * Develop, validate, and evolve traditional and advanced machine learning models, ensuring performance, robustness, and alignment with business problems. * Apply classical machine learning techniques—including statistical models, decision trees, ensemble methods, regression, classification, clustering, and time series—as well as deep learning where applicable. * Design and implement GenAI solutions, including architectures such as RAG, embedding usage, vector databases, and response evaluation—while considering security and responsible use. * Perform fine-tuning and adaptation of LLMs where applicable, defining data strategies and evaluation criteria. * Define success metrics, validation criteria, and monitoring strategies for production models, focusing on quality and stability. * Integrate models with systems and data pipelines, ensuring solutions are usable by applications and business units. * Conduct applied research and proof-of-concept initiatives for new machine learning and AI methodologies, raising the technical level of our solutions. * Maintain a business-oriented mindset, identifying high-impact opportunities while balancing technical complexity, timelines, and value delivered. * Communicate complex results clearly to non-technical audiences, supporting strategic decision-making. **Requirements for this position:** * Fluent English for conversation. * Solid hands-on experience in data science, having worked end-to-end on complex projects. * Advanced Python programming skills and proficiency with data science and machine learning libraries and tools. * Experience with traditional machine learning and deep learning using frameworks such as scikit-learn, PyTorch, or TensorFlow. * Experience creating, validating, and deploying models into production—including defining metrics and performance testing. * Experience applying GenAI—including prompt engineering, RAG, embeddings, and vector databases. * Experience fine-tuning LLMs or adapting pre-trained models for specific use cases. * Experience working in cloud computing environments (AWS, Azure, or GCP) and integrating with data pipelines. * Knowledge of best practices in data and model governance. * Exposure to various machine learning domains—including tabular data, computer vision, NLP, audio, multimodality, and recommendation systems. * Strong analytical capability, focused on data extraction, cleaning, interpretation, and communication. **Nice-to-have qualifications:** * Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Physics, Economics, or related fields. * Master’s or PhD in Data Science, Artificial Intelligence, or related disciplines. * Experience with data architecture and software integration. * Practical experience in industrial contexts or highly technically complex projects. **Benefits:** * National Health Insurance (for employee and dependents, private room) * National Dental Insurance (for employee and dependents) * Flexible Meal/Voucher Allowance * Remote Work Allowance * Birthday Day Off * Wellhub (formerly Gympass) * Extended Maternity Leave (6 months) and Paternity Leave (20 days) * Daycare Assistance for children up to 3 years old (per child) * Mental Health Support via Wellz * Benefits Club offering discounts with multiple partners * Education and language course partnerships * Professional Development (Corporate University) * Partnership with coworking spaces across Brazil * Quality of Life and Wellness Program * Consulting Physician for Radix employee follow-up * Incentive Plans **Radix consistently ranks among the Best Companies to Work For because:** * We have committed, dedicated, curious, and innovative professionals. * Team spirit is our greatest strength. We work cooperatively, knowing we’re all together, rowing in the same direction. * We foster a diverse environment that values equity and inclusion. * Our working hours are flexible, and for nearly all projects, remote work anywhere in Brazil is possible. * We prioritize well-being and care for our people, offering mental health support programs, access to psychiatrists, and consulting physicians. **Interested?** **#JoinRadix** **Job Code: 93bc**