Data Science Manager AI Solutions

CyberArk

Job Location:

Petah Tikva - Israel

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

As a Data Science Manager at Palo Alto you will lead a high-performing team developing AI/ML solutions that secure the digital worlds most sensitive assets. Youll play a key role in driving innovation productizing machine learning systems and applying advanced modeling techniques to real-world cybersecurity challenges.

In this leadership role youll balance hands-on technical involvement with strategic oversight guiding projects from research to production. Youll work closely with data scientists engineers analysts product managers and Cyber-Security researchers to build intelligent features across CyberArks identity security portfolio

Lead mentor and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies
prioritize initiatives and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including
supervised/unsupervised learning anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn PyTorch TensorFlow and Hugging Face.
- Ensure high-quality execution through strong code review practices reproducibility
and model evaluation frameworks.
Champion best practices in MLOps data governance explainability and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

#LI-Hybrid

#LI-OS1

Qualifications :

6 years of industry experience in AI/ML or Data Science with at least 2-year leading teams and managing direct reports.
Masters degree or PhD in a technical field (e.g. Computer Science Machine Learning Statistics Engineering).
Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn PyTorch TensorFlow or Hugging Face.
Strong familiarity with natural language processing (NLP) including LLMs and
transformer-based architectures and their applications to real-world use cases.
Strong technical communication skills and the ability to collaborate across cross-
functional teams.
Strategic mindset with the ability to connect AI research to business value and product opportunities.

Additional Information :

Familiarity with cybersecurity identity security or risk mitigation use cases.
Experience with cloud-based ML infrastructure (e.g. AWS SageMaker GCP Vertex AI) and big data tools (e.g. Spark Airflow).
Hands-on knowledge of MLOps tooling for CI/CD monitoring and versioning of ML assets.
Publications patents or open-source contributions in AI/ML.

Remote Work :

Employment Type :

Full-time

Lead mentor and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies
prioritize initiatives and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including
supervised/unsupervised learning anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn PyTorch TensorFlow and Hugging Face.
- Ensure high-quality execution through strong code review practices reproducibility
and model evaluation frameworks.
Champion best practices in MLOps data governance explainability and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

#LI-Hybrid

#LI-OS1

Qualifications :

6 years of industry experience in AI/ML or Data Science with at least 2-year leading teams and managing direct reports.
Masters degree or PhD in a technical field (e.g. Computer Science Machine Learning Statistics Engineering).
Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn PyTorch TensorFlow or Hugging Face.
Strong familiarity with natural language processing (NLP) including LLMs and
transformer-based architectures and their applications to real-world use cases.
Strong technical communication skills and the ability to collaborate across cross-
functional teams.
Strategic mindset with the ability to connect AI research to business value and product opportunities.

Additional Information :

Familiarity with cybersecurity identity security or risk mitigation use cases.
Experience with cloud-based ML infrastructure (e.g. AWS SageMaker GCP Vertex AI) and big data tools (e.g. Spark Airflow).
Hands-on knowledge of MLOps tooling for CI/CD monitoring and versioning of ML assets.
Publications patents or open-source contributions in AI/ML.

Remote Work :

Employment Type :

Full-time

Key Skills

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About Company

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 a ... View more

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