Senior Data Scientist - Security Risk Analytics (Remote)

AgileEngine, LLC.; Coimbra; Presencial; EUR 105 000 - 158 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Resumo da oferta

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

The role requires 4+ years of commercial data science experience with direct application to

Qualificações

• 4+ years of commercial data science experience with direct application to vulnerability management.
• Advanced proficiency in Python, R and SQL.
• Experience with ML frameworks such as TensorFlow and PyTorch.

Responsabilidades

• Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact.
• Structure and analyze large security telemetry datasets to support the ASPM framework.
• Create machine learning algorithms to filter scanning noise and reduce false positives.
• Establish unified data dashboards to drive data-driven security governance and adoption.

Conhecimentos

Python

R

SQL

Machine Learning

TensorFlow

PyTorch

Data Visualization

Vulnerability Management

Descrição da oferta de emprego

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

The role requires 4+ years of commercial data science experience with direct application to