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We are looking for a strong, hands-on Security Researcher with knowledge in Data Science to join a cutting-edge AI and cyber security initiative at Check Point.
In this role, youll 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.

Key Responsibilities
Research and develop innovative AI-powered capabilities for cyber threat prevention.
Perform hands-on malware analysis in Windows environments, focusing on files and related threats.
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.

As a Data & Business Insights Developer, youll collaborate with a dynamic development group focused on building next-generation SASE solutions. Your work will emphasize data analytics, business intelligence, and security, directly influencing thousands of organizations by empowering data-driven decision-making and delivering impactful, high-quality products.


If you are passionate about transforming data into actionable insights and want to shape the future of cloud security, we invite you to apply and make an impact with Check Point Harmony SASE.

Key Responsibilities
Design, develop, and maintain robust data models, databases, reports, and dashboards to provide actionable business insights.
Collect, analyze, and interpret large, complex datasets to uncover trends, patterns, and opportunities for improvement.
Create, optimize, and enhance data visualizations and models to facilitate clear and effective decision-making.
Work closely with cross-functional teams to understand data needs and deliver tailored data solutions.
Identify anomalies and propose solutions to drive the continuous improvement of our products and business processes.
Ensure the accuracy, integrity, security, and privacy of all data managed and processed.