An Anomaly Detection Developer designs and implements algorithms to identify unusual patterns or outliers in data that deviate from expected behavior. They typically work with large and complex datasets, using statistical analysis and machine learning techniques. Their work is crucial in various fields, including cybersecurity, where they help detect suspicious activities, and in finance to identify fraud. They also optimize and maintain anomaly detection systems, ensuring they operate efficiently and accurately. Furthermore, they collaborate with other teams to understand their anomaly detection needs, and communicate the results of their analysis in a clear and understandable manner.