Senior Data Scientist – Security Risk & ML (Remote)

AgileEngine; Lublin; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation: USD-based

Exciting projects

Flextime: Remote and office options

Job summary

AgileEngine is seeking a Senior Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will work with massive security telemetry datasets, build ML algorithms to reduce noise and false positives, and create data dashboards to drive governance adoption.

The role requires over 5 years of data science experience with direct commercial application to vulnerability management and

Qualifications

• 5+ years of commercial data science experience with full autonomy.
• Advanced proficiency in Python, R, and SQL.
• Experience with machine learning frameworks such as TensorFlow and PyTorch.
• Experience with data visualization tools.
• Commercial experience applying data science to vulnerability management.
• Upper-intermediate English level.

Responsibilities

• Develop predictive models and analytics to prioritize vulnerabilities based on risk and business impact.
• Analyze large security telemetry datasets to support the ASPM framework.
• Create ML models to filter scanning noise and false positives.
• Establish unified data delivery structures and dashboards to drive data-driven security governance.

Skills

Data science

Python

R

SQL

TensorFlow

PyTorch

Data visualization

Vulnerability management

English (upper-intermediate)

Tools

TensorFlow

PyTorch

Job description

AgileEngine is seeking a Senior Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will work with massive security telemetry datasets, build ML algorithms to reduce noise and false positives, and create data dashboards to drive governance adoption.

The role requires over 5 years of data science experience with direct commercial application to vulnerability management and