The first thing you need to know is that here you won’t fall into routine. Radix develops solutions for companies across different sectors and industries. Each project has its own technologies, solutions, and deadlines—and you’ll have the opportunity to work on and experience diverse challenges. In addition to our presence across Brazil—with offices in Rio de Janeiro, São Paulo, and Belo Horizonte—we also have subsidiaries in the United States, positioning Radix as an increasingly **global** company. Do you want to be part of this story and turn ideas and dreams into reality? **As a Data Science Professional, you will:** * Serve as technical leader in data science projects. * Guide junior and mid-level teams, ensuring delivery of high-quality solutions. * Participate in the development and validation of advanced machine learning algorithms, ensuring performance and robustness in production. * Promote best practices, reproducibility, and model auditing, while fostering a culture of innovation and solution productization. * Conduct research to apply new methodologies and elevate delivery standards with advanced technical proposals. * Communicate complex results clearly to non-technical audiences and provide strategic insights to company leadership. * Possess business acumen, identifying high-impact opportunities and balancing feasible solutions with technical complexity. **For this position, you must have:** * Practical experience in data science. * In-depth knowledge of machine learning frameworks such as TensorFlow or PyTorch, and advanced Python programming skills. * Ability to lead end-to-end complex projects, including defining success metrics and integrating with production systems. * Experience creating, optimizing, validating, and implementing complex models—including use of advanced techniques like deep learning. * Experience fine-tuning LLM models. * Experience in cloud computing environments (AWS, Azure, GCP), including data pipelines. * Knowledge of data governance best practices. * Experience in complex projects across various Machine Learning domains: Tabular, Computer Vision, NLP, Audio, Multimodality, Recommendation Systems, etc. * Analytical skills: Ability to perform simple data analyses, with focus on data extraction, cleaning, and interpretation. * Interest in learning new machine learning techniques and data science best practices. * Ability to collaborate effectively with more experienced professionals, absorbing guidance and feedback. **It’s a plus if you have:** * A degree in fields such as Computer Science, Engineering, Statistics, Mathematics, Physics, Economics, or related areas. * A Master’s or PhD in Data Science, AI, or disciplines requiring strong analytical capability. * Advanced English for conversation. **Benefits:** * Nationwide Health Insurance (for employee and dependents, private room) * Nationwide Dental Insurance (for employee and dependents) * Meal/Voucher Allowance (flexible) * Remote Work Allowance * Birthday Day Off * Wellhub (formerly Gympass) * Extended Maternity Leave (6 months) and Paternity Leave (20 days) * Childcare Support for children up to 3 years old (per child) * Mental Health Support via Wellz * Benefits Club offering discounts with various partners * Partnerships with educational institutions and language courses * Professional Development (Corporate University) * Partnership with coworking spaces across Brazil * Quality of Life and Well-being Program * Consulting Physician for Radix employees * 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 and know we’re all rowing in the same direction. * We foster a diverse environment that values equity and inclusion. * Our working hours are flexible, and in nearly all projects, you can work from anywhere in Brazil. * We value well-being and care for our people, offering mental health support programs, access to psychiatrists, and a consulting physician. **Interested?** **\#JoinRadix** **Job Code: 64b8**