We are looking for a strong, hands-on Data Scientist to join a cutting-edge AI and cyber security initiative at Check Point.
In this role, youll be part of a growing data science team working on advanced prevention technologies, leveraging vast amounts of data and state-of-the-art machine learning techniques to help protect users on a global scale.
This is a unique opportunity to join a high-impact, research-driven environment, where you will have the chance to shape core components of a next-generation security solution.
Key Responsibilities
Research and develop innovative AI-powered capabilities for cyber threat prevention.
Rapidly prototype and iterate based on data insights and user feedback.
Design and build data-driven solutions with a strong emphasis on practical impact and performance.
Collaborate closely with cyber researchers, analysts, and engineers to deliver production-grade machine learning models.
Work across organizational boundaries to bring solutions from concept to large-scale deployment, considering system constraints and integration challenges.
Requirements: At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis.
MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics or similar discipline.
Strong hands-on experience in Python with the focus being on statistical algorithms development.
Experience with data science libraries such as: sklearn, pandas, numpy, pytorch/tensorflow
Team player, able to work in collaboration with subject matter experts, with ability to clearly present and communicate findings.
Proven ability to build and deliver data solutions in a short time frame.
Experience with AWS, docker, and development methodologies - an advantage
Experience with Snowflake and Databricks an advantage.
Active Github, Kaggle member an advantage.
Cyber security background an advantage.
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