Data Scientist Team Leader
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1 Vacancy
Job Description
As a Data Science Team Leader at CyberArk 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 1-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 :
No
Employment Type :
Full-time
Employment Type
Full-time
