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.
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.
Requirements:
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.
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.
This position is open to all candidates.
