Remote Senior Data Scientist - Vulnerability Analytics & ML

AgileEngine, LLC; Poland; Remote; BRL 200,000 - 350,000; Full time

Benefits offered by this job

Growth opportunities

Competitive compensation

Remote work

Modern projects

Collaborative culture

Well-being programs

Job summary

AgileEngine, LLC in Brazil is seeking a Senior Data Scientist to develop predictive models and analytics powering risk-based vulnerability prioritization within a large-scale security program. You will structure massive security telemetry datasets and build ML algorithms to reduce noise and false positives, enabling data-driven security governance.

The role requires 5+ years of data science experience with direct commercial application to vulnerability management, and you will work autonomously

Qualifications

• 5+ years of commercial data science experience, autonomous.
• Advanced Python, R, and SQL proficiency.
• Experience with TensorFlow and 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 risk and impact.
• Structure and analyze large security telemetry datasets across the enterprise ecosystem.
• Create ML algorithms to filter out scanning noise and false positives.
• Establish unified data dashboards to drive data-driven security governance.

Skills

5+ years experience

Python

R

SQL

TensorFlow

PyTorch

Data visualization

Vulnerability management

Job description

AgileEngine, LLC in Brazil is seeking a Senior Data Scientist to develop predictive models and analytics powering risk-based vulnerability prioritization within a large-scale security program. You will structure massive security telemetry datasets and build ML algorithms to reduce noise and false positives, enabling data-driven security governance.

The role requires 5+ years of data science experience with direct commercial application to vulnerability management, and you will work autonomously