Senior Data Scientist - Cybersecurity Risk & ML (Remote)

AgileEngine; Poland; Hybrid; PLN 445,000 - 668,000; Full time

Benefits offered by this job

Flextime

Work from home options

Education budget

Fitness budget

Team activities budget

Job summary

AgileEngine is seeking a Senior Data Scientist to develop predictive models and analytics for risk-based vulnerability prioritization in a large-scale security program. You will structure vast telemetry data, build ML algorithms to reduce noise, and create dashboards for data-driven governance.

Requires 6+ years in data science applied to cybersecurity or risk models, strong Python/R/SQL, TensorFlow/PyTorch, and upper-intermediate English. Flexible hybrid work options offered.

Qualifications

• 5+ years of commercial data science experience, autonomous.
• Advanced proficiency in Python, R, and SQL.
• Experience with 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 quantitative analytics to prioritize vulnerabilities by contextual risk and business impact.
• Structure and analyze large security data outputs to support the ASPM framework.
• Create ML algorithms to filter scanning noise and false positives.
• Establish a unified data delivery structure and dashboards driving data-driven security governance.

Skills

5+ years data science

Python

R

SQL

TensorFlow

PyTorch

Data visualization

Vulnerability management

English (upper-intermediate)

Job description

AgileEngine is seeking a Senior Data Scientist to develop predictive models and analytics for risk-based vulnerability prioritization in a large-scale security program. You will structure vast telemetry data, build ML algorithms to reduce noise, and create dashboards for data-driven governance.

Requires 6+ years in data science applied to cybersecurity or risk models, strong Python/R/SQL, TensorFlow/PyTorch, and upper-intermediate English. Flexible hybrid work options offered.