




Job Summary: We are seeking a Senior Data Scientist passionate about transforming tabular data into intelligent decisions, mastering the full Machine Learning lifecycle, and valuing clean, scalable code. Key Highlights: 1. Lead the full lifecycle of ML model development 2. Master Python, SQL, and Machine Learning with tabular data 3. Build and consume APIs and apply engineering culture **Senior Data Scientist (On-site)** We are looking for a **Senior Data Scientist** to join our team. If you are passionate about turning tabular data into intelligent decisions, master the full Machine Learning lifecycle, and value clean and scalable code, this role is for you! **Your Responsibilities:** * Lead the full lifecycle of ML model development, from exploratory data analysis to rigorous result validation. * Develop and manipulate **APIs** to integrate intelligence into our products. * Ensure team technical quality through **best programming practices** and efficient version control. * Extract and manipulate large volumes of data using **SQL** and **Python**. **What We’re Looking For (Essential Skills):** * **Proficiency in Python and SQL:** Fluency in data manipulation and robust script development. * **Machine Learning Expertise:** Solid experience with tabular data (EDA, Feature Engineering, Model Training, and Validation). * **API Architecture:** Knowledge of building and consuming services. * **Engineering Culture:** Proficiency in Git/GitHub, Clean Code, and versioning standards. * **Senior Profile:** Autonomy to propose solutions and critical insight into business metrics. **Nice-to-Have (Bonus!):** * Experience with **Snowflake**. * Experience in **Cloud** environments (preferably **AWS**). **Additional Information:** * **Employment Type:** On-site. * **Location:** Uberlândia.


