Job Summary: The professional will serve as the technical lead for Machine Learning models focused on demand forecasting and supply replenishment, overseeing the entire model lifecycle with a data-driven approach. Key Highlights: 1. Working on projects with diverse technologies and challenges 2. Global company with subsidiaries in the U.S. 3. An environment that values equity and inclusion The first thing you need to know is that here, you won’t fall into routine. Radix develops solutions for companies across various sectors and industries. Each project features its own technologies, solutions, and deadlines—giving you the opportunity to engage with and experience diverse challenges. Beyond our presence across Brazil—with offices in Rio de Janeiro, São Paulo, and Belo Horizonte—we also have subsidiaries in the United States, further solidifying Radix’s position 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:** * Serve as the **technical lead for Machine Learning models** targeting **demand forecasting and supply replenishment (Supply Chain)**, structuring, training, evaluating, and operationalizing models that replace ITIM’s deterministic logic with a scalable, auditable **data\-driven** approach. The focus is not solely on modeling, but on the **end-to-end model lifecycle**: from feature engineering to production deployment. **For this position, you must have:** * Solid experience as a **Senior Data Scientist**. * Strong analytical and systemic thinking. * Ability to discuss **modeling, business, and operations** at the same level. * Technical autonomy to define the approach. * Maturity to explain model limitations to business stakeholders. * Strong expertise in **time series applied to real-world business contexts**. * Python for Data Science (pandas, numpy, scikit\-learn). * Practical experience with **temporal feature engineering**. * 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 include:** * 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) * 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 * Education 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, knowing we are 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, remote work from anywhere in Brazil is possible. * We value well\-being and care for our people, with mental health support programs, access to psychiatrists, and consulting physicians. **Interested?** **\#JoinRadix** **Job Code:** 8a6c