Senior Artificial Intelligence Analyst

Description

Job Summary: We are seeking a Senior AI Analyst / Data Scientist to be the first technical hire in this area, building an AI culture from scratch and optimizing processes. Key Highlights: 1. First technical hire in the AI field 2. Autonomy to build an AI team and culture 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 AI adoption and demonstrating its value 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 team 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, proving their business value. 2\. Internal Evangelization: Identify and communicate process optimization opportunities to teams, fostering 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 the first 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 the quality, integrity, and consistency of data 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. * Demonstrating Value: Create clear data visualizations and presentations to translate technical results into simple, actionable business insights—effectively selling the idea of AI. * Training: Support the creation of basic materials and workshops to educate teams about AI’s potential and how to work with it. 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 key Data Science libraries (Pandas, NumPy, Scikit-learn). * Solid knowledge of SQL and large-scale data manipulation. * 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 platforms (AWS, GCP, or Azure). * Basic knowledge of MLOps and code versioning (Git). Minimum Education Level: Bachelor's Degree Preferred Education Background:* Information Technology, Bachelor's Degree * Computer Science, Bachelor's Degree * Mathematics, Bachelor's Degree * Computer Engineering, Bachelor's Degree Flexible Benefits Card (Total Pass), Sulamérica Health and Dental Insurance (both with fixed monthly discount)