Senior Data Scientist

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

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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