Company Description

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 our CyberArk blogs or follow us on X, LinkedIn or Facebook.

Job Description

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

Qualifications

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 etc.)
Strong proficiency in statistical analysis and machine learning techniques 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
Familiarity with Microsoft Azure a plus
Smart, bold but humble attitude to work collaboratively with CyberArk colleagues

Additional Information

CyberArk is an Equal Opportunity 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.

We are unable to sponsor or take over sponsorship of employment Visa at this time.

The salary range for this position is $126,000 – $175,000/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.

CyberArk

Latest Jobs

AI Data Scientist