Data Scientist II

Perform data mining and analytics on F5 production data to gain insight into cybersecurity risks and threat actors targeting F5 customers. Identify and characterize automated threats against F5 customers’ applications and present threat summaries and proposed countermeasures to customer executive, security, and related teams. Conduct interview sessions with the customer management teams to understand the client's requirements, designing data analysis workflow, and conceptualizing the business requirements to mathematical and statistical questions. Extract, transform, and load large amounts of network data using database management tools; use advanced SQL queries to manipulate data from various databases such as Google Cloud Platform and generate consolidated data sources for further analysis. Recognizing the automation trends using entropy analysis, time series analysis, probability distribution and P-value calculation. Using sampling methods to split data into training and testing datasets; fit the machine learning models to make predictions, validating the model results and tune parameters and evaluating the performance of machine learning models and compute the requisite evaluation metrics. Compiling case studies on attack techniques and fraud schemes to be used by marketing and sales representatives, as well as for reference use in customer briefings and internal trainings.