Senior Data Scientist – Security Risk & ML (Remote)

AgileEngine; Wrocław; Hybrid; PLN 448,000 - 671,000; 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 for risk-based vulnerability prioritization within a large-scale security program. You will structure massive security telemetry, build ML models to reduce noise, and establish dashboards to drive data-driven governance.

Requirements include 5+ years in data science, proficiency in Python/R/SQL, ML frameworks TensorFlow/PyTorch, data visualization skills, and English at an upper-intermediate level.

Qualifications

• 5+ years of commercial data science experience with autonomy.
• Proficiency in Python, R and SQL.
• Experience with TensorFlow or PyTorch.
• Experience with data visualization tools.
• Experience applying data science to vulnerability management.
• Upper-intermediate English.

Responsibilities

• Develop predictive models to prioritize vulnerabilities by risk and impact.
• Analyze large security telemetry data to support the ASPM framework.
• Create ML algorithms to reduce noise and false positives.
• Build unified data dashboards for governance adoption.

Skills

Data science

Python

R

SQL

Data viz

Vulnerability mgmt

English

Tools

TensorFlow

PyTorch

Job description

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

Requirements include 5+ years in data science, proficiency in Python/R/SQL, ML frameworks TensorFlow/PyTorch, data visualization skills, and English at an upper-intermediate level.