Data Scientist Professional

Description

Job Summary: The Data Scientist will be responsible for Machine Learning models for demand forecasting and supply planning, handling the full lifecycle from development to production. Key Highlights: 1. Global presence across multiple sectors and industries. 2. Opportunity to work with Machine Learning in Supply Chain. 3. Flexible environment that values well-being and care for people. 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 uses different technologies, solutions, and timelines — giving you the chance to tackle varied challenges. Beyond our operations 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 Scientist, you will:** * Serve as the **technical lead for Machine Learning models** focused on **demand forecasting and supply suggestions (Supply Chain)**, structuring, training, evaluating, and operationalizing models that replace ITIM’s deterministic logic with a scalable, auditable, and **data\-driven** approach. Focus is not only on modeling, but on the **full model lifecycle**: from feature engineering to production deployment. **For this role, you must have:** * Solid experience as a **Senior Data Scientist**. * Strong analytical and systemic thinking. * Ability to discuss **models, business, and operations** at the same level. * Technical autonomy to define approaches. * Maturity to explain model limitations to business stakeholders. * Strong command of **time series applied to real-world business problems**. * Python for Data Science (pandas, numpy, scikit\-learn). * Practical experience with **temporal feature engineering**. * Hands-on experience with **data pipelines in Data Lake / Lakehouse environments**. * Ability to translate **complex business processes into mathematical models**. * Real-world experience with **MLOps in production** (not just PoCs). **Nice-to-have qualifications:** * Experience in **Supply Chain, Retail, or Automatic Replenishment**. * Experience replacing **legacy systems with ML models**. * Knowledge of: + MLflow (or similar) + Pipeline orchestration + Model monitoring * Experience in **high-volume, high-cardinality environments** (SKU × Store). **Benefits:** * National Health Insurance (for employee and dependents, private room included) * 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 Allowance 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 partnerships * 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 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, offering mental health support programs, access to psychiatrists, and consulting physicians. **Interested?** **\#JoinRadix** **Job Code:** 8a6c