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

Description

Job Summary: We are seeking a Data Scientist with expertise in AI to transform customer feedback into actionable insights using LLMs and automation, optimizing processes and building intelligent agents. Key Highlights: 1. Transform qualitative data into actionable insights using AI 2. Develop AI solutions for large-scale sentiment analysis 3. Create agents and automation workflows to optimize processes About the Role We are looking for an innovative Data Scientist with strong expertise in Artificial Intelligence to join our team. The main challenge will be transforming qualitative data (especially customer feedback) into actionable insights using state-of-the-art LLMs (Large Language Models) and automation techniques. If you are passionate about process optimization, 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 customer feedback at scale (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. Mandatory Requirements: * 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: Solid 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 implementation of 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 Requirements: * 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 communicate complex results clearly to non-technical stakeholders * Proactivity in operating within a dynamic environment where data infrastructure is still being consolidated * Builder mindset — here, you don’t just analyze; you help structure the team’s data ecosystem