Role Description We are currently looking for an exceptionally talented Senior Data Scientist to join our team. You will be responsible for: - Extracting insights from complex data sets. - Developing recommender systems. - Applying advanced analytical techniques to drive strategic decision-making and optimize business outcomes. Functional Responsibilities: - Designing models with a user-centric output, such as recommender systems tailored for various applications including offer design, consumer behavior prediction for purchases, and churn prediction. - Conducting exploratory data analysis to uncover hidden patterns and extract valuable insights that contribute to business growth and optimization. - Utilizing predictive modeling and forecasting techniques to support decision-making processes and improve operational efficiency. - Continuously monitoring model performance, assessing data quality, and refining models to ensure accuracy and reliability. - Staying up to date with the latest advancements in data science and technology, and identifying opportunities to apply emerging methodologies to enhance existing models and processes. Qualifications - Minimum of 4 years of professional experience in Data Science, Machine Learning, or a related field. - Strong proficiency in programming languages such as SQL, Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Deep understanding of machine learning algorithms, statistical models, and data mining techniques. - Proficient in SQL and experience working with databases and data querying. - Problem solver: proactively implements solutions to improve business. - Exceptional communication skills in English (B2-C2), including the ability to convey complex technical concepts, collaborate effectively in team environments, and deliver impactful presentations to diverse audiences. Benefits - Ownership through equity participation. - Annual company retreat. - Education bonus for continuous learning. - Company-wide winter break. - Paid time off. - Optional in-person events and meetups. - Tailored career roadmaps. - High-performance culture.

• Analyzing large sets of data to differentiate legitimate and fraud traffic • Developing and implementing detection rules and models to improve the accuracy and effectiveness of the security products. • Improving processes to collect, manipulate, present, and analyze large datasets in a production-ready environment • Troubleshooting production issues in a very distributed environment

• Analyze Gremlin’s proprietary dataset of millions of chaos engineering experiments to identify failure patterns, root causes, and resilience signals across complex distributed systems • Pretraining and fine-tuning machine learning models that automatically detect, classify, and explain failures observed during chaos experiments • Build intelligent systems that deliver automated remediation recommendations, and eventually orchestration, by learning from historical experiment outcomes and system behavior • Develop scalable data pipelines and feature stores to process, enrich, and serve large volumes of experiment data for both model training and real-time inference • Collaborate closely with platform engineers and SREs to integrate AI-driven failure analysis and remediation capabilities directly into Gremlin’s core product • Apply advanced techniques, including causal inference, graph ML, time-series modeling, and reinforcement learning, to continuously improve the accuracy and actionability of automated failure analysis • Translate insights from millions of chaos experiments into AI-powered features that help customers automatically understand blast radius, pinpoint root causes, and accelerate recovery • Research and productionize novel ML approaches, including causal AI and agentic systems, that turn raw chaos experiment data into automated, reliable remediation strategies

We are allies of the physician throughout their entire journey and we are looking for people who identify with our purpose, values and culture to join our team. Let’s transform healthcare together with those who have medicine as a vocation! This is an open position in the Data area, to work remotely. As a Mid-level Data Analyst at Afya, your primary responsibility will be to perform data analysis and modeling, and to develop dashboards and metrics in Power BI, ensuring the quality, clarity and governance of information.