Data scientist

We’re growing and looking to hire a Data scientist who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.

This key Data Science role focuses on designing and implementing advanced Machine Learning and GenAI models to identify and monitor complex network assets across diverse environments. The position offers the opportunity to lead innovation, collaborate with cybersecurity experts, and drive impactful solutions within a cutting-edge, mission-driven team.

About Claroty:   

Claroty has redefined cyber-physical systems (CPS) protection with an unrivaled industry-centric platform built to secure mission-critical infrastructure. The Claroty Platform provides the deepest asset visibility and the broadest, built-for-CPS solution set in the market comprising exposure management, network protection, secure access, and threat detection – whether in the cloud with Claroty xDome or on-premise with Claroty Continuous Threat Detection (CTD). Backed by award-winning threat research and a breadth of technology alliances, The Claroty Platform enables organizations to effectively reduce CPS risk, with the fastest time-to-value and lower total cost of ownership. Our solutions are deployed by over 1,000 organizations at thousands of sites across all seven continents.

About The Role Overview: This pivotal Data Science position at Claroty is integral to advancing our product offerings. The role involves leading the design and implementation of Machine Learning algorithms that are crucial for distinguishing and monitoring network assets, such as industrial controllers, MRIs, and security cameras. Our aim is to continuously build groundbreaking models that meet the pressing needs of our clients.

A Great Place to Work® certified company, Claroty is headquartered in New York City with employees across the Americas, Europe, Asia-Pacific, and Tel Aviv. The company is widely recognized as the industry leader in CPS protection, with backing from the world’s largest investment firms and industrial automation vendors, as well as being named a Leader in the 2025 Gartner® Magic Quadrant™ for CPS Protection Platforms, recognized by KLAS Research as Best in KLAS for Healthcare IoT Security five years in a row, and ranking on the Forbes Cloud 100 and Deloitte Technology Fast 500 multiple consecutive years. 

• Spearhead research and development of innovative solutions through classic ML algorithms and GenAI.
• Lead model development, including design, implementation, and optimization.
• Manage the exploration and preprocessing of large, interesting yet messy datasets to uncover key trends and extract valuable insights.
• Collaborate closely with subject matter experts in cyber-security to integrate data science methodologies into existing frameworks.
• Establish and lead educational initiatives to enhance understanding of data science processes across the company.
• Drive ongoing improvements in model precision, scalability, and efficiency.
• Take a leadership role in statistical understanding within the department, acting as an enabler and knowledge hub to empower data analysts.
• Contribute to and help shape the department’s strategic roadmap.

What We Offer:

• An opportunity to lead and innovate within a dynamic team dedicated to solving complex challenges with state-of-the-art approaches.
• A culture that values creativity, autonomy, and collaborative problem-solving.
• Industry leading analytics teams to collaborate with.