Senior Data Scientist
- פתח תקווה
- משרה קבועה
- משרה מלאה
(NASDAQ: ), is the global leader in . 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 , visit our CyberArk or follow us on , or .Job DescriptionWhat 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
- 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
- AWS ecosystem (SageMaker, Glue, Athena, Redshift, EMR) and Spark - an advantage
- Background in cyber security - a strong advantage