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Data Scientist

Date:  Nov 1, 2022


Job Category:  Operations
Department:  Go To Market

About CyberArk: 
CyberArk(NASDAQ: CYBR) is 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. To learn more about CyberArk, visit, read the CyberArk blogs or follow on Twitter via @CyberArk, LinkedIn or Facebook.  


Job Description:

CyberArk is looking for a full-stack Data Scientist on the Go-to-Market Analytics team 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 Analytics and work closely with functional leaders, analysts, data engineers, product managers and other colleagues within Revenue Operations. With your help, we will deliver continuous value to our stakeholders through impactful and intelligent data-driven solutions.



  • Build products that support a broad range of Go-to-Market business use cases, enabling hundreds of non-technical end-users to make faster and smarter decisions through data science
  • Develop statistical and machine-learning solutions end-to-end, supporting the full lifecycle of developing, evaluating, deploying, and maintaining models
  • Automate customer engagement motions by predicting outcomes and providing recommendations for the most optimal interventions
  • Discover and propose new opportunities to leverage predictive analysis and automation to solve business problems
  • Integrate data-science products with various Go-To-Market platforms to embed intelligence into the everyday workflows of our end users
  • Acquire extensive domain expertise across the functional areas (Sales, Marketing, Customer Success) and CyberArk products
  • 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

Job Requirements:

  • Bachelor’s degree in a computer science or quantitative field
  • 5+ years of graduate research, industry, or internship experience applying statistical and machine learning techniques
  • Proficiency in Python (Pandas, SciKit-Learn, NumPy)
  • Proficiency in SQL: writing complex queries, transforming data, and mining structured and unstructured data
  • Experience working with Spark or other distributed computing environments
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
  • Excellent verbal and written communications skills
  • Ability to structure and execute complex analyses and tell a story with data
  • Experience with data infrastructure
  • Smart, bold but humble attitude to work collaboratively with CyberArk colleagues


CyberArk is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. 


The salary range for this position is $117,000 –- $170,000/year, plus commissions or discretionary bonus, which will be based on the employee’s performance. Base pay may also vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.



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