Join our Data Science research team, leveraging analytical capabilities into the field of cybersecurity.

Responsibilities

• Develop and implement statistical models and algorithms in big data environment to analyze communication data and logs for endpoint devices, identifying network attacks and anomalies.
• Extract insights and enrichment using advanced analytical tools.
• Lead end-to-end data science projects, including requirements gathering, conducting proof of concept (POCs), demonstrating value, building pipelines in operational systems and monitoring project progress.
• Maintenance, improvement and optimization of production models.
• Collaborate with various stakeholders within the unit and identify challenges and improvements that can addressed using data science techniques.

Qualifications

• Master's degree in Engineering or related fields, with a focus on Applied statistics, machine learning or AI.
• +3 years of experience as a data scientist, specializing in tabluar data.
• Experience in network communication principles- must.
• Proficiency in Python, with extensive experience in libraries such as Scikit-learn, Pandas, NumPy and SciPy.
• Full proficiency in SQL.