Role Description This role will extract, clean, analyze, and interpret data to identify trends, patterns, and insights that can help make informed decisions. This is a great opportunity for an aspiring college student to get exposure to real life problems and be part of the team to learn. Job Responsibilities - Data Collection and Analysis: Extract relevant data from information provided by others and input it into spreadsheets or standard formats. Using statistical methods, data mining techniques, and other tools to analyze data and identify patterns, trends, and relationships. - Data Interpretation: Understanding the meaning and implications of the analysis findings, drawing conclusions, and identifying potential solutions to business problems. - Data Visualization: Presenting data insights through charts, graphs, dashboards, and other visual tools to make the information easily understandable to stakeholders. - Algorithm Development: Design, test, and refine statistical algorithms on real-world consumer data. Qualifications - Pursuing undergrad degree in computer science, data science, or a related field - At least one year of college degree completed (Sophomore or Junior in College at the time of offer) - Basic understanding of data structures, algorithms, and programming languages - Understanding of statistical concepts, methods, and tools - Knowledge of Microsoft Excel and Word - Excellent verbal and written communication skills Requirements - Stay Curious: Being hungry to learn and grow, always asking the big questions - Seek Clarity: Embracing complexity to create clarity and inspire action - Own the Outcome: Being accountable for decisions and taking ownership of our choices - Center on the Client: Relentlessly adding value for our customers - Be a Challenger: Never complacent, always striving for continuous improvement - Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect and integrity - Commit to each other: Contributing to making Circana a great place to work for everyone Benefits - Paid time off - Medical/dental/vision insurance - 401(k) to eligible employees

• 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.