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Senior Data Scientist Professional
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Job Summary: The Senior Data Scientist will collect, clean, and organize data; develop basic machine learning models; and assist in generating insights for various projects. Key Highlights: 1. Opportunity to work on projects involving diverse technologies and challenges. 2. Work for a global company with offices in Brazil and the United States. 3. Focus on enhancing technical skills in Data Science. The first thing you need to know is that here, you won’t fall into routine. Radix develops solutions for companies across multiple sectors and industries. Each project has its own technologies, solutions, and deadlines—and you’ll have the chance 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 branches 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, clean, and organize data from diverse sources for analysis. * Develop basic machine learning models under the supervision of more experienced data scientists. * Assist in executing 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, databases, and using popular data science libraries such as pandas, numpy, and scikit\-learn. * Support machine learning model validation. * 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:** * Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Physics, Economics, or related fields. * Intermediate English proficiency for conversation. * Understanding of different types of learning (supervised, unsupervised, etc.), as well as basics of descriptive statistics. * Understanding of what a dataset is and foundational knowledge of data analysis. * Familiarity with relational and/or non\-relational databases. * Proficiency in Python and some popular data science libraries such as pandas, scikit\-learn, matplotlib, etc. * Knowledge of prompt engineering techniques for generating AI solutions 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 with more experienced professionals, absorbing guidance and feedback. **Nice to have:** * Specialized or short\-term courses in Data Science / Machine Learning. **Benefits:** * Nationwide Medical Assistance (for employee and dependents, including private room) * Nationwide Dental Assistance (for employee and dependents) * Flexible Meal / Food Allowance * Remote Work Allowance * Birthday Day Off * Wellhub (formerly Gympass) * Extended Maternity Leave (6 months) and Paternity Leave (20 days) * Childcare Support for children up to 3 years old (per child) * Mental Health Support via Wellz * Benefits Club offering discounts with numerous 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 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 work cooperatively and know we’re all together, 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, it’s possible to 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:** 0ab2

Source:  indeed View original post
João Silva
Indeed · HR

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