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Senior Data Science Professional

Indeed

Company

Job typeFull-time
Workplace typeRemote
Experience levelMore than 10 years
Education levelDoctoral Degree

Description

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, giving you 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 position as an increasingly **global** company. Do you want to be part of this story and turn ideas and dreams into reality? **As a Senior Data Science Professional, you will:** * Assume technical leadership in 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, ensembles, 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 model monitoring strategies in production, focusing on quality and stability. * Integrate models with systems and data pipelines, ensuring solutions can be leveraged by applications and business areas. * Conduct applied research and proof-of-concepts for new machine learning and AI methodologies, elevating 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. **For this role, you must have:** * Fluent English for conversation. * Solid hands-on experience in data science, working on end-to-end 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 in cloud computing environments (AWS, Azure, or GCP) and integration with data pipelines. * Knowledge of best practices in data and model governance. * Exposure to diverse machine learning domains—such as tabular data, computer vision, NLP, audio, multimodality, and recommendation systems. * Strong analytical capability, focused on data extraction, cleaning, interpretation, and communication. **It’s a plus if you have:** * A bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Physics, Economics, or related fields. * A master’s or doctoral degree in Data Science, Artificial Intelligence, or related disciplines. * Experience with data architecture and software integration. * Hands-on experience in industrial contexts or highly technically complex projects. **Benefits:** * National Health Insurance (for employee and dependents, including 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) * Childcare Support for children up to 3 years old (per child) * Mental Health Support via Wellz * Benefits Club offering discounts with various partners * Educational Institution and Language Course Partnerships * Professional Development (Corporate University) * Partnership with coworking spaces across Brazil * Quality of Life and Well\-Being 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 collaborate cooperatively and know we’re all rowing in the same direction. * We foster a diverse environment that values equity and inclusion. * Our work schedule is flexible, and for nearly all projects, you can work from anywhere in Brazil. * We prioritize well\-being and care for our people—with mental health support programs, access to psychiatrists, and consulting physicians available. **Interested?** **\#JoinRadix**

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Posted by

João Silva

Indeed · HR

Location

João Silva

Indeed · HR

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