AS
Senior Data Scientist
full-time•Tel-Aviv
About this role
<div class="content-intro"><p>Armis, <strong>the cyber exposure management & security company</strong>, protects the entire attack surface and manages an organization’s cyber risk exposure in real time. In a rapidly evolving, perimeter-less world, Armis ensures that organizations continuously <strong>see</strong>, <strong>protect</strong> and <strong>manage</strong> all critical assets - from the<strong> ground to the cloud</strong>. Armis secures Fortune 100, 200 and 500 companies as well as national governments, state and local entities to help keep critical infrastructure, economies and society stay safe and secure 24/7.</p>
<p>Armis is a privately held company headquartered in California.</p></div><p>The Data Science role at Armis is the engine behind our industry-leading <strong>Exposure Management (EM)</strong> platform. <br>You will be responsible for the AI models that power our <strong>CAASM</strong> (Cyber Asset Attack Surface Management) capabilities and our advanced <strong>Vulnerability Prioritization and Remediation</strong> engines.</p>
<p>We are building the intelligence layer that helps organizations implement a <strong>Continuous Threat Exposure Management (CTEM)</strong> framework. You will build models that normalize fragmented data from hundreds of sources, calculate complex risk scores, and prioritize which exposures actually pose a threat to the business.</p>
<p>We are looking for an experienced and creative data scientist, with a software development touch, to join our Data Science and Armis family. A data scientist that understands and loves data, and lots of it.</p>
<p> <strong>What you will do...</strong></p>
<ul>
<li><strong>Solve Applied Product Challenges: </strong>Deep-dive into the Armis product ecosystem to identify and solve high-impact problems. You will translate complex customer needs into scalable ML features that directly improve the user experience.</li>
<li><strong>Lead Exposure Intelligence R&D:</strong> Develop features that unify asset data (CAASM) with threat intelligence. This includes building models for <strong>entity resolution</strong> (deduplicating assets across fragmented sources) and automated <strong>risk assessment</strong>.</li>
<li><strong>Advanced NLP & Knowledge Extraction:</strong> Use NLP and LLMs to parse unstructured security data—such as CVEs, threat intel feeds, and security advisories—to automate the mapping of vulnerabilities to specific business contexts.</li>
<li><strong>Predictive Prioritization:</strong> Design and optimize algorithms that go beyond static CVSS scores. You will incorporate exploitability (EPSS), reachability, and business criticality to help clients focus on the 1% of exposures that matter most.</li>
<li><strong>End-to-End Ownership:</strong> Work closely with Product Managers and Data analysts and Engineers to ensure your models aren't just accurate in a notebook, but are robust, explainable, and deliver clear value within the product UI.</li>
<li><strong>Graph-Based Attack Surface Mapping:</strong> Identify hidden patterns and relationships between assets, users, and vulnerabilities to visualize the potential "blast radius" of a security gap.</li>
</ul>
<p> <strong>What we expect...</strong></p>
<ul>
<li><strong>Academic Background:</strong> M.Sc./PhD in Computer Science, Statistics, Engineering, or a related field (or equivalent high-level professional experience).</li>
<li><strong>Industry Experience:</strong> 6+ years in Data Science, with a heavy focus on <strong>NLP</strong> and solving complex, real-world problems using ML/Deep Learning.</li>
<li><strong>Technical Mastery:</strong> Hands-on experience with <strong>PyTorch, Hugging Face, scikit-learn</strong>, and SQL. Familiarity with processing large-scale datasets (PySpark, or similar) is highly valued.</li>
<li><strong>Domain Awareness:</strong> Proven ability to apply statistical modeling to cybersecurity, risk management, or complex system analysis. Experience with <strong>Vulnerability Management</strong> or <strong>Graph Theory</strong> is a significant plus.</li>
<li><strong>Product and collaborative Driven Mindset:</strong> You are obsessed with understanding the "Why" behind the data. You enjoy learning the nuances of the product and the cybersecurity domain to ensure your DS solutions are highly applicable.</li>
</ul>
<p><strong>Curiosity & Grit:</strong> A passion for diving into "messy" data and finding the signal within the noise of the modern attack surface.</p><div class="content-conclusion"><p><span style="font-weight: 400;">The choices you make in your career journey matter. You want to do interesting work in an important field while also having time to live your life, which is why we place so much value in your life-work balance. Armis sets you up for success with comprehensive health benefits, discretionary time off, paid holidays including monthly <em>me </em>days, and a highly inclusive and diverse workplace. Put your unique experiences and perspective to work in an environment where they will enable you to thrive, grow, and live your life with integrity.</span></p>
<p><span style="font-weight: 400;">Armis is proud to be an equal opportunity employer. We never discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected (or not) status. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization.</span></p>
<p><a href="https://www.armis.com/privacy-policy/" target="_blank"><span class="">Please click here to review our privacy practices.</span></a></p></div>
What you'll do
- The role involves developing AI models for Cyber Asset Attack Surface Management (CAASM) capabilities and advanced Vulnerability Prioritization engines, focusing on building an intelligence layer for Continuous Threat Exposure Management (CTEM). Responsibilities include unifying asset data with threat intelligence, using NLP/LLMs for security data parsing, and designing algorithms to prioritize critical exposures.
About Armis Security
Armis, the cyber exposure management & security company, protects the
entire attack surface and manages an organization’s cyber risk exposure in
real time.
In a rapidly evolving, perimeter-less world, Armis ensures that organizations continuously see, protect and manage all critical assets - from the ground to the cloud. Armis secures Fortune 100, 200 and 500 companies as well as national governments, state and local entities to help keep critical infrastructure, economies and society stay safe and secure 24/7.
Armis is a privately held company headquartered in California.
Ready to join Armis Security?
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Frequently Asked Questions
What does a Senior Data Scientist do at Armis Security?
As a Senior Data Scientist at Armis Security, you will: the role involves developing AI models for Cyber Asset Attack Surface Management (CAASM) capabilities and advanced Vulnerability Prioritization engines, focusing on building an intelligence layer for Continuous Threat Exposure Management (CTEM). Responsibilities include unifying asset data with threat intelligence, using NLP/LLMs for security data parsing, and designing algorithms to prioritize critical exposures..
Is the Senior Data Scientist position at Armis Security remote?
The Senior Data Scientist position at Armis Security is based in Tel-Aviv, Tel-Aviv District, Israel. Contact the company through Clera for specific work arrangement details.
How do I apply for the Senior Data Scientist position at Armis Security?
You can apply for the Senior Data Scientist position at Armis Securitydirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.