DevJobs

Senior Data scientist

Overview
Skills
  • Python Python ꞏ 5y
  • SQL SQL ꞏ 5y
  • Pandas Pandas ꞏ 5y
  • PyTorch PyTorch ꞏ 5y
  • TensorFlow TensorFlow ꞏ 5y
  • Spark Spark
  • Scikit-learn ꞏ 5y
  • AWS ecosystem
Who we are:

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.

What you will do:

CyberArk is looking for an experienced and highly motivated Senior Data Scientist with high professional skills to join our newly established AI Center of Excellence under the Product Technology Office.


  • Execute data analysis, and develop and deliver data science solutions using Python.
  • Work closely with other data scientists, data and software engineers, and cyber researchers.
  • Work closely with product managers, software architects, and data groups to identify opportunities for AI/ML and translate business needs into algorithmic questions.
  • Collaborate with development teams to bring ML solutions to production.


What you need to succeed:


  • 5+ years of hands-on data science experience in designing and implementing of ML models and algorithm development
  • Track record of successfully taking AI/ML project inception to production
  • A versatile, proactive, team player, can-do attitude, quick learner, and a great executor
  • Experience in Python, Pandas, Scikit-learn / TensorFlow / PyTorch, SQL


How you will stand out from the crowd:


  • AWS ecosystem (SageMaker, Glue, Athena, Redshift, EMR) and Spark - an advantage
  • MSc/PhD in a quantitative field - an advantage
  • Background in cyber security - an advantage


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