As a Data Scientist at CyberArk youll join a team shaping the future of identity security and pioneering research in areas of cybersecurity and Agentic AI.
Advance your data science career by applying your established expertise to solve complex real-world problems at scale and drive innovation alongside leaders in the cybersecurity and AI space.
- Research design Evaluate and production deployment of advanced AI/ML models specializing in LLMs RAG systems and Agentic AI applications.
- Explore and analyze large-scale datasets to uncover patterns and drive actionable insights.
- Collaborate closely with product managers engineers and analysts to support feature development and validate ML ideas.
- Stay up to date with the latest academic and industry trends in AI/ML and apply best practices to real-world challenges.
- Grow your skills in classic machine learning deep learning natural language processing (NLP) LLMs and cybersecurity applications.
#LI-Hybrid
#LI-OS1
Qualifications :
- 2-4 years of hands-on experience as a Data Scientist with proven ability in designing building and deploying solutions utilizing LLMs RAG or other Agentic AI frameworks.
- Msc degree from a university in Computer Science Statistics Mathematics Engineering Data Science or related field with a thesis on Data Science. GPA above 85.
- Solid understanding of machine learning fundamentals and a strong grasp of data structures algorithms and probability.
- Demonstrated independent research capabilities and a self-driven approach to learning and problem-solving.
- Passion for solving meaningful problems and eagerness to learn in a fast-paced collaborative environment.
- Strong communication skills and ability to explain technical concepts to different audiences.
Additional Information :
- Hands-on experience with deep learning frameworks (e.g. PyTorch TensorFlow) or NLP libraries (e.g. Hugging Face).
- Experience working with cloud platforms (e.g. AWS GCP) or distributed data tools (e.g. Spark).
- Knowledge or interest in cybersecurity - a big plus!
Remote Work :
No
Employment Type :
Full-time
As a Data Scientist at CyberArk youll join a team shaping the future of identity security and pioneering research in areas of cybersecurity and Agentic AI.Advance your data science career by applying your established expertise to solve complex real-world problems at scale and drive innovation alongs...
As a Data Scientist at CyberArk youll join a team shaping the future of identity security and pioneering research in areas of cybersecurity and Agentic AI.
Advance your data science career by applying your established expertise to solve complex real-world problems at scale and drive innovation alongside leaders in the cybersecurity and AI space.
- Research design Evaluate and production deployment of advanced AI/ML models specializing in LLMs RAG systems and Agentic AI applications.
- Explore and analyze large-scale datasets to uncover patterns and drive actionable insights.
- Collaborate closely with product managers engineers and analysts to support feature development and validate ML ideas.
- Stay up to date with the latest academic and industry trends in AI/ML and apply best practices to real-world challenges.
- Grow your skills in classic machine learning deep learning natural language processing (NLP) LLMs and cybersecurity applications.
#LI-Hybrid
#LI-OS1
Qualifications :
- 2-4 years of hands-on experience as a Data Scientist with proven ability in designing building and deploying solutions utilizing LLMs RAG or other Agentic AI frameworks.
- Msc degree from a university in Computer Science Statistics Mathematics Engineering Data Science or related field with a thesis on Data Science. GPA above 85.
- Solid understanding of machine learning fundamentals and a strong grasp of data structures algorithms and probability.
- Demonstrated independent research capabilities and a self-driven approach to learning and problem-solving.
- Passion for solving meaningful problems and eagerness to learn in a fast-paced collaborative environment.
- Strong communication skills and ability to explain technical concepts to different audiences.
Additional Information :
- Hands-on experience with deep learning frameworks (e.g. PyTorch TensorFlow) or NLP libraries (e.g. Hugging Face).
- Experience working with cloud platforms (e.g. AWS GCP) or distributed data tools (e.g. Spark).
- Knowledge or interest in cybersecurity - a big plus!
Remote Work :
No
Employment Type :
Full-time
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