Data Science Manager (AI Solutions-Machines) Job at Palo Alto Networks (Petah Tikva)

Job Description

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

Job Responsibility

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

Requirements

6+ years of industry experience in AI/ML or Data Science, with at least 2-year leading teams and managing direct reports
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
Master’s degree or PhD in a technical field (e.g., Computer Science, Machine Learning, Statistics, Engineering)

Nice to have

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

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Data Science Manager (AI Solutions-Machines)

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