Who we are:

CyberArk (NASDAQ: CYBR), 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

What will you do:

CyberArk is focusing on becoming a data-driven organization, and the IT data team is expanding. We are looking for a Data Scientist to join our IT BI group and partner with different business domains (Finance, HR etc) to research, develop and deploy advanced data and machine-learning models.

You will support the different business teams by providing them with eye-opening insights and actionable recommendations that will have a huge impact on the business's key metrics.

In this role, you will be responsible for designing the solutions with stakeholders and your IT peers.
We are looking for a candidate with experience in data analysis, machine learning, and statistics, and a passion for solving complex problems, along with a deep understanding of business areas such as Finance, Product Management, HR, and more.

• Develop and maintain machine learning models for forecasting and predictive analytics.
• Gather requirements, Design, and analysis of various business processes into an advanced BI solution
• Conduct statistical analysis to identify trends, patterns, and insights from large datasets
• Perform data mining over our DWH to increase data integrity and quality.
• Communicate findings and insights to stakeholders and make recommendations for data-driven decision making
• Continuously evaluate and improve existing models to enhance performance and accuracy
• End-to-end management of BI-related projects and accountability on the quality of delivery (on time, on scope, development quality, and standards)
• Manage tasks and projects that require matrix management and facilitation of resources in IT
   

What you need to succeed:

• Bachelor's or master's degree in Computer Science, Mathematics, Statistics, or a related field
• 4+ years of experience in data analysis, machine learning, and statistical modeling
• Proficiency in programming languages such as Python or R (Familiarity with Databricks is an advantage)
• Experience with SQL using Snowflake or similar
• Knowledge of data visualization tools (e.g., Tableau)
• Experience in Data Modeling for a SaaS, Subscription company, such as forecasting and clustering models
• Preferred experience in Finance related modeling
• Excellent interpersonal skills and a proven ability to collaborate with others in a global team
• Highly motivated, self-learner with the ability to manage multiple tasks
• English at a high standard

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To learn more about CyberArk, visit https://www.cyberark.com, read the CyberArk blogs or follow on Twitter via @CyberArk, LinkedIn or Facebook.