לוח אפשרויות קריירה - הדרך החכמה להייטק

Responsibilities
Create rules and models to broaden repertoire of sensitive data classes, from knowledge acquisition to writing production code.
Define success metrics for classification performance. Use those to measure, monitor, and evaluate results. Help set the standards and constantly raise the bar.
View, extract, analyze, label, and present data from multiple organizations, different cloud environments, storage technologies, interfaces, and formats.
Create processes and tools that will allow non-technical stakeholders to have a clear view of scanning and classification KPIs.
Make the most of our enormous amounts of data to help drive product and R&D decisions.
Work from within the R&D Data team, take part in the discussions revolving around data science objectives, priorities and solutions.