




Job Summary: We are seeking a Senior AI Analyst / Data Scientist to serve as the technical pioneer—developing AI models and evangelizing AI adoption to optimize internal processes. Key Highlights: 1. First technical hire in the AI field 2. Autonomy to build an AI department and culture from scratch 3. Hands-on development and internal evangelization We are looking for a Senior Artificial Intelligence Analyst / Data Scientist who will be the first technical hire in this area. This role combines technical model-development skills with the ability to act as an internal evangelist, promoting the use and value of AI to optimize our internal processes from the ground up. If you have practical experience in Data Science and desire the autonomy and challenge of building an AI function and culture within a company, this is the ideal opportunity. The Challenge: This role is pivotal and requires proactivity, focusing on: 1\. Hands-on Development: Develop and implement the first AI solutions, demonstrating their business value. 2\. Internal Evangelization: Identify and communicate process-optimization opportunities to teams, fostering adoption of a data-driven mindset. Responsibilities: 1\. Technical Implementation (Hands-on) * Model Lifecycle: Participate in the full Data Science lifecycle—from data collection and cleaning to developing and testing Machine Learning models (Classification, Regression, Clustering). * First Solutions: Develop Proof-of-Concepts (POCs) and initial AI solutions to optimize internal processes (e.g., identifying bottlenecks, automating complex reports, forecasting trends). * Initial Infrastructure: Assist in selecting and configuring initial tools and technical environments (libraries, cloud development environment, foundational frameworks). * Data Quality: Ensure data quality, integrity, and consistency used in modeling, collaborating closely with Engineering/IT teams. 2\. Culture and Evangelization: * Opportunity Identification: Conduct interviews and meetings with business units (Operations, Finance, Marketing) to understand their challenges and propose viable AI solutions. * Value Demonstration: Create data visualizations and clear presentations to translate technical results into simple, actionable business insights—and sell the AI vision. * Training: Support the creation of basic materials and workshops to educate teams about the potential and practical application of Artificial Intelligence. Requirements and Qualifications: Essential (Senior Level) * Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related fields. * Prior experience as a Data Scientist or AI Analyst, with a track record of delivering projects. * Proficiency in Python and core Data Science libraries (Pandas, NumPy, Scikit-learn). * Solid knowledge of SQL and manipulation of large datasets. * Understanding of Machine Learning concepts, Statistics, and model evaluation techniques. * Excellent communication and presentation skills, with the ability to engage non-technical audiences. Desirable: * Practical experience with visualization tools (Tableau, Power BI, Streamlit). * Familiarity with Cloud Computing environments (AWS, GCP, or Azure). * Basic knowledge of MLOps and code versioning (Git). Minimum Education Level: Bachelor's Degree Preferred Education: * Information Technology, Bachelor's Degree * Computer Science, Bachelor's Degree * Mathematics, Bachelor's Degree * Computer Engineering, Bachelor's Degree Flexible Benefits Card (Cartão Flex), Total Pass, Sulamérica Health and Dental Insurance (both with fixed monthly deduction)


