Staff Data Scientist, Agent Improvement Loop

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Scientist, Agent Improvement Loop based in Brazil.

As a Staff Data Scientist, you will play a key role in improving the performance, reliability, and quality of AI-powered agents in a fast-paced, international environment. You will lead the development of evaluation strategies, analyze production data, and transform insights into measurable improvements. Working closely with Product, Engineering, Delivery, and Customer Success teams, you will help identify performance gaps and drive continuous optimization. You will contribute to the evolution of agent capabilities, conversational experiences, and supporting technical infrastructure. This role combines advanced data science, hands-on engineering, experimentation, and strategic thinking. You will also mentor colleagues and help establish best practices for evaluating and improving AI systems at scale. Your work will directly influence customer outcomes and the development of next-generation conversational AI solutions.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1