This role also involves leading a talented team of Data Scientists who employ sophisticated analytics programs, data mining techniques, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling.
Key accountabilities include:
▪ Developing a firm understanding of the essential business requirements through interaction with, and interrogation of, business SMEs and translating that understanding into models that address the requirements, using data science methods, including:
▪ Data assembly, cleansing, validation, Data visualization
▪ Statistical modeling supervised and unsupervised machine learning, mathematical programming
▪ Inspecting data to confirm that it is consistent with expectations, modifying designs as necessary.
▪ Relevant cyber domain experience which includes analyzing telemetry logs, network logs, security data, threat intel, application logs etc
▪ Communicating predictions and findings to the Organization through effective data visualizations and reports.
▪ Creating prototypes of key data manipulations, visualizations and mathematical modeling elements.
▪ Validating designs with business SMEs via discussions, examples, prototype demonstrations and documentation and iterating designs in response to negotiations with business SMEs.
▪ Conveying the designs to the development teams via discussion, documentation and prototype code.
▪ Developing an understanding of industry trends and best practices.
▪ Creating and following a personal education plan in the technology stack and solution architecture.
▪ Exposure to the cybersecurity domain.
▪ Extensive relevant experience in Data Science.
▪ Hands-on experience in a production deployment of ML models in large complex environments.
Good understanding of the process workflow:
▪ Problem definition to hypothesis building
▪ Prototype model building using python/R
▪ Implementation of ML problems in big data.
▪ Performance Monitoring & Evaluation of System