Senior Data Scientist: Predictive Security & Risk Analytics

AgileEngine, LLC.; Wrocław; Hybrid; PLN 448,000 - 672,000; 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 enterprise security program.

You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified dashboards to drive adoption of data-driven security governance.

Qualifications

• 5+ years of commercial data science experience acting autonomously with no supervision.
• Advanced proficiency in Python, R and SQL.
• Experience with ML frameworks such as TensorFlow and PyTorch.
• Experience with data visualization tools.
• Commercial experience applying data science to vulnerability management.

Responsibilities

• Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact.
• Structure and analyze massive outputs of security data to support the ASPM framework.
• Create ML algorithms to identify and filter scanning noise and false positives.
• Establish a unified data delivery structure and dashboards to drive data-driven security governance.

Skills

Autonomy at work

Python, R, SQL

TensorFlow, PyTorch

Data visualization

Vulnerability management

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 enterprise security program.

You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified dashboards to drive adoption of data-driven security governance.