Senior Data Science Professional

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, 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 Science Professional, you will:** * Collect, integrate, clean, and organize data from various sources. * Conduct exploratory analyses and assess data quality (with emphasis on industrial time series). * Define and prepare datasets for model training, validation, and testing. * Develop, adapt, and validate physical/mathematical and machine learning models for applications such as soft sensors, fault prediction, and process optimizers. * Evaluate model performance, proposing improvements and adaptations to ensure robustness and operational relevance. * Lead model deployment and monitoring in production, tracking performance, deviations, and evolution needs. * Produce analyses, visualizations, and technical reports to support decision-making. * Collaborate closely with data scientists, data engineers, and process specialists to understand industrial challenges, define strategies, and propose data-driven solutions. * Promote best practices in development, documentation, and reproducibility of data science solutions. **For this position, you must have:** * Intermediate English proficiency for conversation. * Experience applying data science to industrial processes, advanced control, optimization, or process engineering. * Experience in data projects and/or products applied to industry. * Strong knowledge of statistics and major machine learning paradigms (supervised, unsupervised, etc.). * Experience with time series, including trend, seasonality, lags, feature engineering, and handling missing data. * Proficiency in Python and established data science libraries (pandas, numpy, scikit\-learn, matplotlib, etc.). * Knowledge of algorithms and data structures, as well as relational and non-relational databases. * Strong communication skills to document analyses, present results, and interact with technical teams and clients. **It’s a plus if you have:** * A degree in Engineering, Physics, Computer Science, Statistics, or related fields. * A Master’s or PhD in Data Science, AI, or disciplines requiring high analytical capability. **Benefits:** * National Health Insurance (for employee and dependents, private room included) * National 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) * Daycare allowance for children up to 3 years old (per child) * Mental health support via Wellz * Benefits club with discounts across multiple 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 cooperate closely and know we are 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 value well-being and care for our people, offering mental health support programs, access to psychiatrists, and consulting physicians. **Interested?** **\#JoinRadix** **Job Code: cf53