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 various 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 machine learning models.
* Perform tasks such as report creation, insight generation, and data visualization.
* Contribute to documenting processes, scripts, and analyses.
* Focus on improving technical skills—including Python programming, database management, and using data science libraries such as pandas, numpy, and scikit\-learn.
* Support the validation of machine learning models.
* Gain a deeper understanding of business problems and how data science can be applied to solve them.
* Maintain a business-oriented mindset, identifying high-impact opportunities while balancing feasible solutions with technical complexity.
* Tableau proficiency to create dashboards.
**For this position, you must have:**
Practical experience in data science.
*
* Experience with Feature Engineering
* Knowledge of programming and object-oriented concepts;
* Familiarity with Machine Learning/Data Analysis;
* Knowledge of clustering and grouping techniques;
* Understanding of different learning types (supervised, unsupervised, etc.), plus basics 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 generative AI solutions without model fine-tuning.
* Knowledge of algorithms and data structures.
* Understanding of best practices in data governance.
* Analytical skills: Ability to perform data analysis, focusing on data extraction, cleaning, and interpretation.
* Advanced English for writing and conversation.
* Interest in learning new machine learning techniques and data science best practices.
**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.
* Experience with statistical programming languages (Python or R) is desirable.
**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 Assistance for children up to 3 years old (per child)
* Mental health support through Wellz
* Benefits Club offering discounts with various partners
* Partnerships with educational institutions and language course providers
* 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 work cooperatively 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?**
code: d598
**\#JoinRadix**