Vectra is looking to leverage machine learning and data modeling to enhance its AI-driven threat detection and response capabilities for hybrid and multi-cloud enterprises by developing core detection algorithms.
Requirements
- Hands-on experience with machine-learning and statistical techniques
- Strong experience with Python and object-oriented programming
- Ability to work with datasets using SQL or other libraries (pandas, numpy, etc.)
- Familiarity with data structures and algorithms
- Linux and Git proficiency
- Familiarity with Spark, Flink, or other distributed computing systems
- Experience with cloud computing platforms (AWS, Azure, GCP, etc.)
Responsibilities
- Leverage large datasets to develop machine-learning and statistical models that can differentiate between normal and attack behavior.
- Own the prototyping, development, and testing of complex detection algorithms that implement these models and provide customers with real-time visibility.
- Analyze detection algorithm performance and present key findings to business leaders.
- Collaborate with Security Research, Data Engineering, and Software Engineering teammates.
Other
- MS + 2 years of Data Science experience or PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience)
- Collaborate with Security Research, Data Engineering, and Software Engineering teammates.
- Analyze detection algorithm performance and present key findings to business leaders.
- Experience working in a software development team
- Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.
