Company Description
About CyberArk:
CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on Twitter, LinkedIn or Facebook.
Job Description
What will you do:
As Senior Data scientist at CyberArk, you will shape the future of identity security and develop innovative AI/ML solutions that enhance security and protect the emerging agentic AI landscape in top organizations. Drive AI research and engineering to address evolving threats and protect critical digital assets effectively.
- Drive AI/ML projects from research to production, leveraging advanced algorithms, LLMs, classification models, Unsupervised learning and optimization techniques to enhance cybersecurity solutions.
- Model Building: Design, implement, and optimize machine learning models, including deep learning, using frameworks such as PyTorch, TensorFlow, Hugging Face, and scikit-learn.
- Work closely with product manager, engineers, software architects and analysts to understand requirements, validate model assumptions, and deliver actionable insights.
- Identify AI/ML impact opportunities and translate business needs into actionable roadmap items.
- Stay current with the latest advancements in data science and apply best practices to ensure optimal performance
#LI-OS1
Qualifications
What you need to succeed:
- Minimum 5 years of relevant work experience in AI/ML and Data Science, or PhD with 3 years.
- Masters degree or PhD in a quantitative field – Computer Science, Mathematics, Statistics, Engineering etc.
- Hands-on experience with frameworks such as scikit-learn, PyTorch, Hugging Face, TensorFlow, or equivalent tools for model development and training.
- Proven ability to apply statistical modeling and machine learning methods to real-world problems, ideally in the context of cybersecurity or related fields.
- Proven track record of successfully taking AI/ML project inception to production
- Proficient in communicating technical ideas and collaborating effectively across teams and organizational stakeholders.
- Team player, responsible, accountable, delivery oriented and with a can do approach.
How you will stand out from the crowd:
- AWS ecosystem (SageMaker, Glue, Athena, Redshift, EMR) and Spark - an advantage
- Background in cyber security – a strong advantage
Top Skills
What We Do
CyberArk is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets.
For over a decade CyberArk has led the market in securing enterprises against cyber attacks that take cover behind insider privileges and attack critical enterprise assets. Today, only CyberArk is delivering a new category of targeted security solutions that help leaders stop reacting to cyber threats and get ahead of them, preventing attack escalation before irreparable business harm is done. At a time when auditors and regulators are recognizing that privileged accounts are the fast track for cyber attacks and demanding stronger protection, CyberArk’s security solutions master high-stakes compliance and audit requirements while arming businesses to protect what matters most.
With offices and authorized partners worldwide, CyberArk is a vital security partner to more than 6,770 global businesses, including:
More than 50% of the Fortune 500
More than 35% of the Global 2000
CyberArk has offices in the U.S, Israel, U.K., Singapore, Australia, France, Germany, Italy, Japan, Netherlands and Turkey.
