Senior Data Scientist — Security Risk & ML Analytics (Remote)

AgileEngine, LLC.; Lublin; Hybrid; PLN 447,000 - 670,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Data Scientist to develop predictive models and analytics that power risk-based vulnerability prioritization within a large-scale security program. You will analyze massive security telemetry, build ML algorithms to reduce noise, and establish unified dashboards to drive data-driven governance.

Required 5+ years of data science experience with direct commercial application to vulnerability management, and autonomy in delivery across the enterprise.

Qualifications

• 5+ years of commercial data science experience, autonomous.
• Advanced proficiency in Python, R, and SQL.
• Experience with ML frameworks (TensorFlow, PyTorch).
• Experience with data visualization tools.
• Commercial experience applying data science to vulnerability management.

Responsibilities

• Develop predictive models and analytics to prioritize vulnerabilities based on contextual risk and business impact.
• Structure and analyze massive security telemetry data across the enterprise to support ASPM.
• Create ML algorithms to filter out scanning noise and false positives.
• Establish data dashboards and a unified data delivery structure for governance.

Job description

AgileEngine is seeking a Senior Data Scientist to develop predictive models and analytics that power risk-based vulnerability prioritization within a large-scale security program. You will analyze massive security telemetry, build ML algorithms to reduce noise, and establish unified dashboards to drive data-driven governance.

Required 5+ years of data science experience with direct commercial application to vulnerability management, and autonomy in delivery across the enterprise.