We are looking for a Data Scientist with a deep understanding of cybersecurity principles and practices to join our dynamic team. As a Data Scientist specializing in cybersecurity, you will play a crucial role in enhancing our organization’s security posture by leveraging data-driven insights and advanced analytical techniques.

Responsibilities:

1. Data Analysis and Modeling:
   • Analyze large volumes of security data to identify patterns, trends, and anomalies that could indicate potential threats or vulnerabilities.
   • Develop predictive models and algorithms to detect and mitigate security risks in real-time.
   • Utilize machine learning and statistical techniques to enhance threat detection and response capabilities.
2. Threat Intelligence:
   • Research and stay up-to-date with the latest cybersecurity threats, attack vectors, and adversary tactics.
   • Integrate external threat intelligence feeds into our security analytics platform to enrich data analysis and improve threat detection accuracy.
   • Collaborate with cybersecurity analysts to translate threat intelligence into actionable insights and strategies for mitigating emerging threats.
3. Security Data Infrastructure:
   • Design and implement data pipelines and infrastructure for collecting, processing, and storing security data from various sources.
   • Optimize data storage and retrieval mechanisms to support efficient analysis and reporting workflows.
   • Work closely with IT and cybersecurity teams to ensure the integrity, availability, and confidentiality of security data.
4. Visualization and Reporting:
   • Develop interactive dashboards and visualizations to communicate key security metrics, trends, and insights to stakeholders.
   • Generate regular reports and presentations summarizing security findings, incidents, and performance metrics for management review.
   • Collaborate with cross-functional teams to identify data-driven opportunities for improving security posture and risk management practices.
5. Research and Innovation:
   • Contribute to research projects and initiatives aimed at advancing cybersecurity analytics, machine learning, and artificial intelligence capabilities.
   • Experiment with new tools, technologies, and methodologies to continuously enhance our data science and cybersecurity capabilities.
   • Publish research findings, white papers, or technical articles to share insights and contribute to the broader cybersecurity community.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Cybersecurity, or a related field or relevant experiences in lieu of degree.
• Proven experience as a Data Scientist or Data Analyst with a focus on cybersecurity.
• Programming skills in languages such as Python, or Java, with experience in data manipulation, analysis, and visualization libraries.
• Familiarity with machine learning techniques and libraries (e.g., scikit-learn, TensorFlow, PyTorch) for building predictive models and anomaly detection systems.
• Knowledge of cybersecurity principles, protocols, and best practices, including network security, cryptography, malware analysis, and incident response.
• Experience with big data technologies and platforms (e.g., Hadoop, Spark, Elasticsearch) for processing and analyzing large-scale security data sets.
• Excellent analytical, problem-solving, and communication skills, with the ability to translate technical concepts and findings into actionable insights for non-technical stakeholders.