Applied Data Scientist at varonis-internal

Setup: Remote, Hybrid
Type: Full-time
Posted: Jan 27, 2026

Description

Varonis is looking for an Applied Data Scientist to join their team. The role involves designing, building, evaluating, and deploying ML-, LLM-, and agent-assisted capabilities to enhance real-world cybersecurity detection, investigation, and response workflows. The scientist will collaborate with various teams to convert complex security data and attack scenarios into reliable, scalable, and measurable AI-powered product capabilities.

Required Skills

Machine Learning
Statistical Analysis
LLMs
Agent-Assisted Techniques
Cybersecurity
Python
PySpark
Databricks
SQL
Large-Scale Data Processing Frameworks
Embeddings
Vector Databases
Retrieval Systems
RAG-Based Workflows
Data Privacy
Model Misuse
Safe System Design

Additional Information

Required Previous Experiences: Strong hands-on foundation in machine learning, applied statistics, and data science, including supervised learning, unsupervised learning, anomaly detection, model evaluation, and experimentation.
Experience applying data science or machine learning to cybersecurity, fraud, risk, abuse, observability, or other adversarial or high-signal/noise domains.
Proven ability to deliver practical, reliable, high-quality AI or ML solutions in production, product, or applied environments.
Experience partnering with engineering teams to deploy, monitor, and improve ML models, AI workflows, or data products in production environments.
Preferred Qualifications: A master's degree is a plus.
Experience with PySpark, Databricks, SQL, or large-scale data processing frameworks is a plus.
Understanding of AI and LLM security considerations, including adversarial inputs, prompt injection, data privacy, model misuse, governance, and safe system design.