Job Summary: The Senior Data Scientist will develop data products and optimize Machine Learning models within Nestlé’s AI Center of Excellence team. Key Highlights: 1. Join the world’s largest food and beverage company 2. Work in a diverse and inclusive environment with purpose 3. Develop data products using Statistics, Data Science, and ML **POSITION SUMMARY** Location: São Paulo – Headquarters Area / BU: IT & Digital Reports to: Data Science Manager Any internal candidate mapped? No **Position Purpose** Joining Nestlé means becoming part of the world’s largest food and beverage company. At our core, we foster a diverse and inclusive environment where passionate people—driven by the purpose of enhancing quality of life and contributing to a healthier future—are committed daily to growing together, demonstrating ownership, and pursuing excellence. With our vision of an increasingly data-driven Nestlé, we are opening a Senior Data Scientist position within our AI Center of Excellence. We seek a candidate with strong analytical capabilities and logical reasoning to formulate and solve problems using data! The ideal candidate must also possess excellent collaborative and teamwork skills, as we work on multidisciplinary projects. This role will involve developing data products using Statistics, Data Science, and Machine Learning within one of our data science teams and will entail direct interaction with senior leaders in the area. **Day-to-Day Responsibilities...** * Understand business problems and effectively translate them into data science solutions; * Develop, implement, and optimize Machine Learning models; * Identify opportunities for analytics and new applications of statistical models, as well as process improvement opportunities—prioritizing business needs; * Communicate project developments and delivery progress; * Proactively contribute to synergy and advancement of the broader data science team. **What Will Contribute to Your Success?** * Bachelor’s degree in Statistics, Computer Science, Engineering, or related fields; * Experience in Data Analysis, Statistical Modeling, and Machine Learning; * Knowledge of Machine Learning Operations (MLOps) practices; * Ability to formulate data-driven solutions aligned with business opportunities; * Strong verbal communication skills, as well as the ability to collaborate effectively—proactively sharing knowledge and seeking context to work across diverse teams; * Proficiency in Azure, Databricks, and programming languages Python and SQL (preferred); * Good English proficiency (reading, writing, and speaking);