Data Scientist - Hybrid (1-3X) - Betim/MG

Description

Job Summary: We are seeking an innovative Data Scientist with expertise in AI to transform customer feedback into actionable insights using LLMs and automation, optimize processes, and build intelligent agents. Key Highlights: 1. Transform qualitative data into actionable insights using AI and LLMs 2. Optimize processes and build intelligent agents 3. Work in a dynamic environment with technical autonomy and analytical vision About the Role We are looking for a Data Scientist with an innovative mindset and solid expertise in Artificial Intelligence to join our team. The primary challenge will be transforming qualitative data (especially customer feedback) into actionable insights using cutting-edge LLMs (Large Language Models) and automation techniques. If you are passionate about optimizing processes, building intelligent agents, and extracting maximum value from complex datasets, this opportunity is for you! Responsibilities and Duties: * Advanced Sentiment Analysis: Develop and implement AI solutions to analyze large-scale customer feedback (surveys, reviews, support interactions), identifying patterns, trends, and opportunities to improve customer experience. * Automation and Optimization: Create agents and automation workflows for repetitive data analysis and reporting tasks, leveraging AI to optimize internal processes and reduce manual effort. * Prompt Engineering and Model Development: Apply LLM techniques (e.g., GPT and similar models) to build NLP (Natural Language Processing) solutions that classify, summarize, and interpret text. * Strategic Consulting: Translate technical findings into clear business recommendations for Product, Marketing, and Customer Experience teams. * Data Governance and Modeling: Structure and maintain databases, ensuring data quality and accessibility for business teams. * Data Visualization: Develop interactive and dynamic dashboards in Power BI (including DAX and Power Query) to democratize access to AI-driven analytics. Required Qualifications: * Applied AI Experience: Proven expertise in using Artificial Intelligence for data analysis, with mandatory focus on customer feedback (sentiment analysis, NLP, etc.). * Advanced SQL: Proficiency in SQL for complex queries, data manipulation, and extraction. * Power BI: Strong knowledge of the tool, including data modeling, DAX (Data Analysis Expressions), and Power Query (M\-Language). * Python: Proficiency in Python for data analysis (Pandas, NumPy) and implementing AI solutions. * LLMs and AI Agents: Practical experience with frameworks and APIs for building AI agents and orchestrating tasks using language models (e.g., LangChain, AutoGen, OpenAI APIs, Anthropic APIs, or similar). * Process Automation: Demonstrated history of creating automations for repetitive tasks and optimizing workflows. * Database Knowledge: Familiarity with database administration and modeling (SQL and NoSQL). * Bachelor's Degree: Engineering, Computer Science, Information Systems, or related fields. * Fluent/Advanced English Desirable Qualifications: * Experience using Salesforce as a data source * Experience with NPS, CX, or Voice of Customer projects Behavioral Profile: * Senior professional with technical autonomy and sharp analytical vision * Ability to clearly communicate complex results to non-technical stakeholders * Proactivity to operate in a dynamic environment with data infrastructure still under consolidation * Builder mindset — here, you won’t just analyze; you’ll help structure the team’s data ecosystem