Summary
Efrat Vilenski is a Staff Security Data Scientist with over a decade of hands-on experience turning research-grade machine learning into operational security and analytics systems. She combines a PhD-level background in industrial engineering and data science with 15+ years across analytics, BI, automation and applied ML, delivering end-to-end solutions from anomaly detection research to production alerting and maintenance. Her career spans Intel, Phytech, Forescout and now Intuit, where she blends statistical rigor, database scripting and visual analytics to drive high-signal alerting pipelines. Known for leading cross-functional teams and managing projects, she brings both managerial savvy and deep technical craft to security data problems. An unusual strength is her sustained focus on practical anomaly-detection systems developed during her academic PLF lab work, which she has repeatedly translated into deployed products.
11 years of coding experience
25 years of employment as a software developer
Doctor of Philosophy (PhD) Industrial Engineering / Data Science, Doctor of Philosophy (PhD) Industrial Engineering / Data Science at Ben-Gurion University of the Negev
English, Hebrew