Job Details

ID #54025052
Estado Massachusetts
Ciudad Newton
Tipo de trabajo Full-time
Salario USD TBD TBD
Fuente CyberArk
Showed 2025-06-18
Fecha 2025-06-18
Fecha tope 2025-08-17
Categoría Etcétera
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AI Data Scientist

Massachusetts, Newton, 02458 Newton USA
Aplica ya

CyberArk is looking for a Data Scientist to leverage the predictive power of data generated by our products, customers, and employees to unlock business value, improve customer experience, and increase operational effectiveness. The ideal person is a driven, passionate problem solver who possesses both business intuition and a strong understanding of data technologies and machine-learning techniques. You will report to the Director of AI Technology and work closely with functional leaders, analysts, data engineers, product managers and other colleagues. With your help, we will deliver continuous value to our stakeholders through impactful and intelligent data-driven solutions. Responsibilities: Build tools that support a broad range of business use cases, enabling non-technical end-users to make faster and smarter decisions through AI, machine learning, and data science Leverage your expertise to choose analytical methods, relevant data and non-statistical tools to craft solutions to business questions and implement AI solutions Apply advanced statistical methods to analyze and interpret complex datasets, identifying patterns and trends that inform AI models Discover and propose new opportunities to leverage predictive analysis and automation to solve business problems across CyberArk functional areas (Sales, Marketing, Customer Success etc.) and products Develop statistical and machine-learning solutions end-to-end, supporting the full lifecycle of developing, evaluating, deploying, and maintaining models Leverage machine learning models to test and enhance the accuracy and relevance of RAG query results Collaborate with data engineers and business users to design pre-query processes for better retrieval results Drive projects forward by forming close collaborative relationships with other members of the analytics/engineering group and IT to reach end deliverables Communicate results and recommendations to stakeholders and cross-functional partners #LI-EB1

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