Quod

Data Scientist

• Develop technical solutions that meet business requirements, aiming to create scalable and high-performance applications;
• Develop batch systems and REST APIs in Python based on provided documentation, creating applications that meet user requirements;
• Maintain web portals;
• Identify and fix incidents and maintain systems according to problem descriptions and log analysis;
• Prepare technical documentation for implemented solutions;
• Write unit tests;
• Interact with the business area to clarify business requirements, validate developed systems, and provide technical input in alignment meetings;
• Experience with Agile methodologies is desirable;
• Develop and evaluate generative AI (LLMs) solutions applied to real business problems such as product recommendation, document analysis, chatbots, and collections strategies;
• Conduct experiments to optimize models, including prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation) techniques;
• Define and implement evaluation metrics for generative models (e.g., quality, factuality, consistency, and bias);
• Perform robust statistical analyses to validate results, including hypothesis testing, confidence intervals, and simulations;
• Identify risks and propose solutions to mitigate hallucinations, biases, and reliability issues.

Data Scientist – Generative AI Specialist