Remote
Posted 6 days ago

Role Overview:

We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves developing predictive models to anticipate cyber threats and enhance security protocols, leveraging AI and machine learning techniques.

Key Responsibilities:

  • Predictive Modeling: Develop and implement machine learning models to forecast potential cybersecurity threats and vulnerabilities.

  • Data Analysis: Analyze large datasets to identify patterns and anomalies related to security incidents.

  • AI Integration: Integrate AI solutions into existing cybersecurity frameworks to improve threat detection and response times.

  • Collaboration: Work closely with cybersecurity analysts, IT teams, and stakeholders to align data science initiatives with security objectives.

  • Reporting: Generate comprehensive reports and visualizations to communicate findings to technical and non-technical audiences.

Required Qualifications:

  • Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Cybersecurity, or a related field.

  • Technical Skills:

    • Proficiency in programming languages such as Python or R.

    • Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn).

    • Familiarity with cybersecurity concepts and tools.

  • Analytical Skills: Strong ability to analyze complex datasets and derive actionable insights.

  • Communication Skills: Excellent written and verbal communication skills to convey technical information clearly.

Preferred Qualifications:

  • Certifications: Relevant certifications such as Certified Information Systems Security Professional (CISSP) or Certified Ethical Hacker (CEH).

  • Experience: Prior experience in a cybersecurity-focused data science role.

  • Tools: Familiarity with data visualization tools like Tableau or Power BI.

Benefits:

  • Competitive Salary: Reflective of experience and industry standards.

  • Flexible Working: Options for remote or hybrid working arrangements.

  • Professional Development: Opportunities for training and certifications in AI and cybersecurity.

  • Health & Wellness: Comprehensive health insurance and wellness programs.

Job Features

Job Category

Cyber Security, Data Science

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