• Manage and evolve the company’s Total Reward practices, including compensation, benefits, and job architecture • Manage all aspects of compensation and benefits, ensuring consistency, fairness, market relevance, and business alignment • Own the end-to-end execution of reward processes, including merit cycles, bonus programs, and ongoing compensation and benefits • Lead the detailed planning and execution of reward programs, ensuring accuracy, consistency, and high-quality delivery • Implement compensation structures aligned with business goals and organizational growth • Build and maintain job architecture frameworks, including roles, levels, and compensation bands • Ensure strong alignment between performance, workforce planning, talent decisions, and compensation outcomes • Partner with HRBPs and leadership to support compensation decisions • Work closely with Finance to ensure budget alignment and cost discipline • Build and develop People Analytics as a core capability across all HR domains • Serve as the central owner of people data within HR, working hands-on to analyze trends, identify gaps, and surface actionable insights • Ensure data accuracy, consistency, and reliability across HR systems • Design and implement practical tools, HRIS solutions, and automations that improve how managers and HR operate and enable employees to effectively manage their people journey • Manage and continuously improve HR systems and their functionalities, ensuring they are effective, reliable, and support how HR and the business operate • Drive the use of AI and advanced technologies to build internal tools that improve efficiency, scalability, and data visibility across the HR function

• Provide technical leadership and architect end-to-end Machine Learning solutions for Afya's digital products. • Define and lead the experimentation strategy and advanced statistical analysis to optimize engagement, retention, and the impact of product changes. • Act as a Subject Matter Expert (SME) in Generative AI, with a primary focus on evaluation workflows, building Small Language Models (SLMs) and fine-tuning, ensuring safe responses aligned with business objectives. • Influence the product roadmap and other squads (AIOps, AI Engineering) by identifying data-driven opportunities and prototyping new AI solutions. • Establish and promote coding best practices (Python), ensuring the quality and performance of models in production. • Mentor other data scientists (Junior, Mid-level, Senior) on complex technical challenges. • Communicate and defend architectures, technical decisions, and the results of complex models to technical and executive stakeholders.

• Work remotely in support of a government contract for a client located in Washington, DC. • Collaborate on technical solutions and lead implementation efforts. • Develop and engineer data workflows to merge disparate data sources. • Design and develop automation for security tools management. • Apply analytical rigor and statistical methods to analyze large amounts of data.

• Work remotely in support of a government contract for a client located in Washington, DC. • Develop and support data-oriented tasks for cybersecurity solutioning. • Architect and design analytic methods using machine learning.