Applied Cybersecurity Data Scientist (ML & LLMs)

Varonis; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

Varonis is seeking an Applied Data Scientist to develop machine learning and agent-assisted solutions enhancing cybersecurity. You will work with various teams to create scalable, AI-powered security systems, translating complex scenarios into practical applications.

The role requires deep expertise in ML and data analysis to ensure robust detection and response capabilities in real-world situations. Ideal candidates will hold a relevant degree and exhibit strong programming skills, particularly in Python.

Qualifications

• Strong hands-on foundation in machine learning and applied statistics.
• Experience applying data science or machine learning to cybersecurity.
• Proficiency in Python and common ML libraries.

Responsibilities

• Apply ML and LLM techniques to improve cybersecurity workflows.
• Analyze large security datasets for behavioral patterns.
• Collaborate with software engineers and data teams for deployment.

Skills

Machine learning

Data science

Cybersecurity

Python

Statistical analysis

Collaboration

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or Statistics

Master’s degree (a plus)

Tools

Python libraries

PySpark

SQL

Job description

Varonis is seeking an Applied Data Scientist to develop machine learning and agent-assisted solutions enhancing cybersecurity. You will work with various teams to create scalable, AI-powered security systems, translating complex scenarios into practical applications.

The role requires deep expertise in ML and data analysis to ensure robust detection and response capabilities in real-world situations. Ideal candidates will hold a relevant degree and exhibit strong programming skills, particularly in Python.