We are looking for a strong, hands-on Data Scientist with knowledge in Security Research to join a cutting-edge AI and cyber security initiative .
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.
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.
Perform hands-on malware analysis in Windows environments, focusing on files and related threats.
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:
BSc in Computer Science, Mathematics, Bioinformatics, Statistics, Engineering, Physics, or a similar discipline; MSc is an advantage.
At least 2 years of hands-on malware analysis experience in Windows environments, focusing on file-based threats – must
At least 2+ years of experience applying data science techniques, including Machine Learning, Deep Learning, and statistical data analysis, with practical hands-on work in Python.
Comfortable using data science libraries such as: sklearn, pandas, numpy, pytorch,langchain with a focus on developing statistical and machine learning algorithms.
At least 2 years of experience using AI tools in practical applications.
Team player, able to work in collaboration with subject matter experts, with the ability to present and communicate findings.
Proven ability to build and deliver data solutions in a short time frame.
BSc in Computer Science, Mathematics, Bioinformatics, Statistics, Engineering, Physics, or a similar discipline; MSc is an advantage.
At least 2 years of hands-on malware analysis experience in Windows environments, focusing on file-based threats – must
At least 2+ years of experience applying data science techniques, including Machine Learning, Deep Learning, and statistical data analysis, with practical hands-on work in Python.
Comfortable using data science libraries such as: sklearn, pandas, numpy, pytorch,langchain with a focus on developing statistical and machine learning algorithms.
At least 2 years of experience using AI tools in practical applications.
Team player, able to work in collaboration with subject matter experts, with the ability to present and communicate findings.
Proven ability to build and deliver data solutions in a short time frame.
This position is open to all candidates.
