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, reinforcing Radix’s growing position as a **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:** * Develop and validate advanced machine learning algorithms, ensuring performance and robustness in production. * Promote best practices, reproducibility, and auditability of models, while fostering a culture of innovation and productization of solutions. * Guide junior and mid-level data scientists, promoting delivery of high-quality solutions. * Lead research initiatives to apply new methodologies and elevate delivery standards through 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 role, you must have:** * Deep 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 deploying complex models, including use of advanced techniques such as deep learning. * Experience in complex projects across various Machine Learning domains: Tabular, Computer Vision, NLP, Audio, Multimodality, Recommendation Systems, etc. * Experience fine-tuning LLMs. * Knowledge of data governance best practices. * Experience in cloud computing environments (AWS, Azure, GCP), including data pipelines. * Ability to perform simple data analyses, focusing 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. * Advanced English for conversation. **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, AI, or disciplines requiring high analytical capability. * Knowledge of Databricks **Benefits:** * National Health Insurance (for employee and dependents, private room) * National Dental Insurance (for employee and dependents) * Meal/food allowance (flexible) * Remote work allowance * Birthday day off * Wellhub (formerly Gympass) * Extended Maternity Leave (6 months) and Paternity Leave (20 days) * Childcare allowance 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’ 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 and know 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, you can work from anywhere in Brazil. * We value well-being and care for our people—with mental health support programs, access to psychiatrists, and consulting physicians available. **Interested?** **#JoinRadix** **Job ID:** 26ca