Data Scientist Professional

Description

The first thing you need to know is that here, you will not fall into routine. Radix develops solutions for companies across various sectors and industries. Each project has its own technologies, solutions, and deadlines, giving you the opportunity to engage with and experience different 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, clean, and organize data from diverse sources for analysis. * Develop basic machine learning models under the supervision of more experienced data scientists. * Assist in tasks such as report creation, insight generation, and data visualization. * Contribute to documenting processes, scripts, and analyses. * Focus on improving technical skills, such as Python programming, database usage, and employing data science libraries like pandas, numpy, and scikit\-learn. * Support the validation of machine learning models. * Collaborate with data engineers and data scientists to better understand business problems and how data science can be applied to solve them. **For this position, you must have:** * Understanding of different types of learning (supervised, unsupervised, etc.), plus fundamentals of descriptive statistics. * Understanding of what a dataset is and basic knowledge of data analysis. * Familiarity with relational and/or non\-relational databases. * Proficiency in Python and popular data science libraries such as pandas, scikit\-learn, matplotlib, etc. * Knowledge of prompt engineering techniques for generating solutions using generative AI without fine-tuning models. * Knowledge of algorithms and data structures. * Analytical skills: Ability to perform simple data analyses, focusing on data extraction, cleaning, and interpretation. * Interest in learning new machine learning techniques and best practices in data science. * Ability to collaborate effectively with more experienced professionals, absorbing guidance and feedback. **It’s a plus if you have:** * A degree in Computer Science, Engineering, Statistics, Mathematics, Physics, Economics, or related fields. * Specialized or short-term courses in Data Science / Machine Learning. **Benefits:** * Nationwide Health Insurance (for employee and dependents, including private room) * Nationwide 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) * Childcare allowance for children up to 3 years old (per child) * Mental health support through Wellz * Benefits club offering discounts with numerous 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 prioritize well\-being and care for our people, offering mental health support programs, access to psychiatrists, and consulting physicians. **Interested?** **\#JoinRadix**