Required data science manager - ai solutions
company description
A palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. Our ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
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 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 our 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.
Requirements: 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. 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.
This position is open to all candidates.