Senior Data Scientist Professional

Description

The first thing you need to know is that here, you won’t fall into routine. Radix develops solutions for companies across diverse sectors and industries. Each project has its own technologies, solutions, and deadlines—and you’ll have the opportunity to work on and experience a variety of 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 Senior Data Scientist, you will:** * Collect, integrate, explore, and prepare structured and unstructured data, ensuring quality, consistency, and reliability of the datasets used. * Conduct exploratory and inferential analyses to identify patterns, relationships, and business opportunities—transforming data into actionable recommendations. * Develop, validate, and evolve supervised and unsupervised statistical and machine learning models, selecting appropriate techniques for each problem. * Apply classification, regression, clustering, dimensionality reduction, anomaly detection, time series, and other machine learning techniques according to the business context. * Perform feature engineering, attribute selection, imbalance handling, hyperparameter optimization, and systematic model comparison. * Plan and execute analytical experiments, statistical tests, and validations—ensuring model robustness, generalizability, and interpretability. * Support model operationalization in production by collaborating with Data Engineering and Software Engineering teams to build pipelines, APIs, and monitoring processes. * Communicate technical and executive results through visualizations, presentations, and documentation—translating complex analyses into business recommendations. * Work closely with technical and business stakeholders to understand challenges, formulate hypotheses, and propose data-driven solutions. * Promote best practices in Data Science, mentoring less experienced professionals in defining approaches, validating models, and ensuring technical delivery quality. **For this position, you must have:** * Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Physics, Economics, or related fields. Advanced English for communication in international projects. * * Practical experience with supervised and unsupervised Machine Learning—including classification, regression, clustering, dimensionality reduction, and anomaly detection. * Experience with algorithms such as Linear and Logistic Regression, Decision Trees, Random Forest, and Gradient Boosting (XGBoost, LightGBM, or CatBoost). * Experience building, optimizing, validating, and deploying complex models—including advanced techniques such as Deep Learning (TensorFlow, Keras, or PyTorch), Natural Language Processing (NLP), Computer Vision, or Recommendation Systems. * Experience with time series analysis, forecasting, or predictive modeling. * Experience in cloud computing environments (AWS, Azure, GCP), including data pipelines. * In-depth knowledge of machine learning frameworks such as TensorFlow or PyTorch, and advanced Python programming skills. * Knowledge of data governance best practices. * Ability to communicate results effectively to both technical and executive audiences. **Nice-to-have qualifications:** * Master’s or Ph.D. in Data Science, Artificial Intelligence, or disciplines requiring high analytical capability. * Experience with cloud environments (AWS, Azure, or GCP) applied to Data Science solutions. * Experience with Graph Analytics or Graph Machine Learning. * Knowledge of mathematical optimization techniques, operations research, or metaheuristics. * Familiarity with MLOps—including MLflow, model versioning, monitoring, and experiment tracking. * Familiarity with Generative AI, Prompt Engineering, RAG, and LLMs applied to business problems. **Benefits:** * Nationwide Health Insurance (for employee and dependents, including private room) * Nationwide Dental Insurance (for employee and dependents) * Flexible Meal/Meal Allowance * 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 agreements * Professional Development (Corporate University) * Partnership with coworking spaces across Brazil * Quality of Life and Well-Being Program * Consulting physician for Radixer 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 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** **Code: 50df