Data Science

Description

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

Claroty is seeking an experienced and passionate Research and Development Group Manager to lead and inspire one of our talented engineering groups. This is an exciting opportunity to drive innovation, oversee the development of best-in-class solutions for managing the lifecycle of construction projects, and shape the future of technology at Claroty.

As an Engineering group Manager, you will lead multiple R&D teams and collaborate with cross-functional leaders to deliver high-quality, scalable, and impactful solutions. You’ll provide strategic direction, foster a culture of excellence and innovation, and ensure alignment with business objectives.

If you are a visionary leader with a passion for mentoring teams, driving impactful engineering projects, and delivering customer-focused solutions, we’d love to have you join us!

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.

Responsibilities

• 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.
  
  

Requirements

• Advanced degree ( M.Sc ./PhD) in fields like Computer Science, Engineering, or Statistics, or equivalent practical experience.
• At least 7 years of industry experience applying ML strategies and solving real-world problems, working with real data.
• Extensive skill in data exploration, analysis, and interpretation.
• Demonstrated success in applying statistical and ML techniques to solve practical issues, especially using classic algorithms.
• A collaborative and proactive approach to tackling intricate problems.
• An advantage for candidates with previous experience in team leadership.
  
  

Why Claroty? Our Culture and Benefits:

• As a Great Place to Work® certified company, we take pride in the culture we’ve built together—one rooted in camaraderie, credibility, fairness, and respect.
• Claroty is a people first company. With strong bonds amongst the team, we believe in prioritizing personal care and support over work, confident that results follow from a harmonious environment. We celebrate professional and personal successes, committed to fostering a diverse and inclusive space.
• Stability, we demonstrate continued growth over the past few years, raised over 700M$ from top tier investors, we have top tier board members and our products are sold worldwide, over 1000 customers.
• We understand the importance of maintaining a healthy work-life balance, and encourage people to take the time they need to rest and prioritize their mental and physical health. We also provide a biannual “ClaroBreak”, a company-wide long weekend shutdown so we can all rest, recharge and spend time with our loved ones.
• We care about your development. At Claroty, we prioritize excellence and uphold high professional and ethical standards. We encourage career growth and exploration within the company, facilitated by biannual performance reviews, feedback sessions, and individual development planning, complemented by professional courses.
• We believe in transparency and openness. That’s why we regularly hold company all-hands, town hall meetings, and “Coffee with the CEO” sessions. We also conduct round table sessions and employee satisfaction surveys, to keep a pulse on what matters most to our team members and make our culture the best it can be.
• While we have physical offices in New York, Tel Aviv, London and Singapore, we also embrace a hybrid working culture. This flexibility allows us to tap into a diverse talent pool and enables our team members to work in a way that suits their individual preferences and circumstances.
  
  

Claroty is an equal-opportunity employer committed to fostering a diverse and inclusive work environment for all. We encourage applications from candidates of ALL diverse backgrounds, and special accommodations are available upon request in all selection phases.