Senior Data Scientist: Vulnerability Risk & ML Analytics

AgileEngine, LLC.; Aveiro; Híbrido; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth

Competitive compensation

Exciting projects

Flextime

Resumo da oferta

AgileEngine, LLC. is seeking a Senior Data Scientist in Portugal to develop predictive models and analytics powering risk-based vulnerability prioritization within a large enterprise security program.

You will structure massive security telemetry datasets, build ML algorithms, and establish unified dashboards to drive data-driven governance. The ideal candidate has 5+ years of commercial data science experience, strong Python/R/SQL skills, and hands-on work with TensorFlow or PyTorch.

Qualificações

• 5+ years of commercial data science experience with autonomous work style.
• Advanced proficiency in Python, R and SQL.
• Experience with machine learning frameworks such as TensorFlow and PyTorch.
• Experience applying data science to vulnerability management.

Responsabilidades

• Develop predictive models and analytics to prioritize vulnerabilities based on contextual risk and business impact.
• Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework.
• Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives.
• Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.

Conhecimentos

Python

R

SQL

TensorFlow

PyTorch

Data Visualization

Autonomy

Vulnerability Management

Descrição da oferta de emprego

AgileEngine, LLC. is seeking a Senior Data Scientist in Portugal to develop predictive models and analytics powering risk-based vulnerability prioritization within a large enterprise security program.

You will structure massive security telemetry datasets, build ML algorithms, and establish unified dashboards to drive data-driven governance. The ideal candidate has 5+ years of commercial data science experience, strong Python/R/SQL skills, and hands-on work with TensorFlow or PyTorch.