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 engage with 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 Data Science Professional, you will:** * Collect, integrate, clean, and organize data from various sources. * Conduct exploratory data analysis and assess data quality (with emphasis on industrial time series). * Prepare datasets for model training, validation, and testing. * Develop physical/mathematical and machine learning models for applications such as soft sensors, failure prediction, and process optimizers. * Support performance evaluation of developed models. * Monitor deployed models in production—tracking performance, deviations, and need for adjustments. * Create analyses, visualizations, and technical reports to support decision-making. * Collaborate with data scientists, data engineers, and process experts to understand industrial problems and propose data-driven solutions. * Develop technical skills in Python, data analysis, modeling, machine learning, and best practices of applied data science in industry. **For this role, you must have:** * Intermediate English proficiency for conversation. * Knowledge of basic descriptive statistics and understanding of major machine learning paradigms (supervised, unsupervised, etc.). * Basic knowledge of time series—including trend, seasonality, lags, and handling missing data. * Proficiency in Python and established data science libraries (pandas, numpy, scikit\-learn, matplotlib, etc.). * Knowledge of algorithms and data structures, and familiarity with relational and non-relational databases. * Strong communication skills to document analyses, explain results, and interact with technical teams. * Interest in applying data science to industrial processes, advanced control, optimization, or process engineering. **Nice-to-have qualifications:** * Bachelor’s degree in Engineering, Physics, Computer Science, Statistics, or related fields. * Prior experience in data projects and/or products applied to industry. * Specialized courses or certifications in Data Science / Machine Learning. **Benefits:** * National Health Insurance (for employee and dependents, including private room) * National Dental Insurance (for employee and dependents) * Flexible Meal/Voucher Benefit * Remote Work Allowance * Birthday Day Off * Wellhub (formerly Gympass) * Extended Maternity Leave (6 months) and Paternity Leave (20 days) * Childcare Assistance 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 employees * Incentive Plans **Radix consistently ranks among the Best Companies to Work For because:** * We employ committed, dedicated, curious, and innovative professionals. * Team spirit is our greatest strength. We cooperate closely 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 for nearly all projects, you can work from anywhere in Brazil. * We prioritize well-being and care for our people—offering mental health support programs, access to psychiatrists, and consulting physicians. **Interested?** code: 243b **\#JoinRadix**
João Silva
Indeed · HR
João Silva
Indeed · HR
