Data Scientist

Summary

Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations become stricter, organizations struggle to answer one key question: “Is my data safe?”

At Varonis, we see the world of cybersecurity differently. Instead of chasing threats, we believe that the most practical approach is to protect data from the inside out. We’ve building the industry’s first fully autonomous data security platform to help our customers dramatically reduce risk with minimal human effort.

At Varonis, we move fast. We’re an ultra-collaborative company with brilliant people who care deeply about the details. Together, we’re solving interesting and complex puzzles to keep the world’s data safe.

We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.

Hands-on Data Scientists key role in our innovative science team. Build, support, drive, collaborate and guide on our AI/ML cybersecurity solutions and its operation pipelines built on Azure.

What You'll Be Doing:

• Develop and implement advanced AI/ML cybersecurity models in areas such as Classification, Regression, Clustering, Anomaly Detection, Semantic Search, Recommendation Systems, Named Entity Recognition (NER), and Generative AI.
• Analyze data throughout AI/ML pipelines to improve our understanding and predictions capabilities.
• Assist with defining, implementing, and maintaining a complete MLOps pipelines on Azure.
• Collaborate with other Data Scientists, Engineering and Product teams to enable efficient and valuable ML-based solutions.
• Stay updated on the latest AI/ML technology and practices to ensure quality and release efficiency.
  
  

• Strong proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, and PyTorch.
• Extensive hands-on industrial experience in areas of Classification, Regression, Clustering, Anomaly Detection, Semantic Search and Recommendation Systems.
• Vast experience in data handling, wrangling, transformation, analysis, and management.
• Demonstrated experience in training, deploying, maintaining, and monitoring ML models using cloud-native solutions.
• Strong Math Skills - understanding the fundamentals of Multivariable Calculus and Linear Algebra.
• Strong proficiency in Data Centric AI and handling imperfections in data.
• Strong Software Engineering background.
• Familiarity with DevOps principles and Agile methodologies.
  
  

• Collaboration skills with the ability to work in a team.
• Proven ability to work independently, communicate effectively, and drive projects with minimal supervision.
• Low-Code to No-Code approach.
  
  

• Vast Experience in NLP particularly NER, and fine tuning LLM.
• Experience in Cybersecurity domain.
• Experience in Microsoft Fabric and Azure ML practices.