We are looking for a strong, hands-on Data Scientist to join a cutting-edge AI and cyber security initiative at Check Point.

In this role, you’ll be part of a growing data science team working on advanced prevention technologies, leveraging vast amounts of data and state-of-the-art machine learning techniques to help protect users on a global scale.

This is a unique opportunity to join a high-impact, research-driven environment, where you will have the chance to shape core components of a next-generation security solution.

Major Responsibilities

• Research and develop innovative AI-powered capabilities for cyber threat prevention.
• Rapidly prototype and iterate based on data insights and user feedback.
• Design and build data-driven solutions with a strong emphasis on practical impact and performance.
• Collaborate closely with cyber researchers, analysts, and engineers to deliver production-grade machine learning models.
• Work across organizational boundaries to bring solutions from concept to large-scale deployment, considering system constraints and integration challenges.

Desired Background

• At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis.
• MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics or similar discipline.
• Strong hands-on experience in Python with the focus being on statistical algorithms development.
• Experience with data science libraries such as: sklearn, pandas, numpy, pytorch/tensorflow
• Team player, able to work in collaboration with subject matter experts, with ability to clearly present and communicate findings.
• Proven ability to build and deliver data solutions in a short time frame.
• Experience with AWS, docker, and development methodologies - an advantage
• Experience with Snowflake and Databricks – an advantage.
• Active Github, Kaggle member – an advantage.
• Cyber security background – an advantage.