Senior Data Scientist - Security Risk & ML (Remote)

AgileEngine; Lisboa; Híbrido; EUR 65 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth

Competitive compensation

Exciting projects

Flextime

Resumo da oferta

AgileEngine is seeking a Senior Data Scientist in Lisbon, Portugal, to develop predictive models and analytics powering risk-based vulnerability prioritization within a large-scale security program. You will structure and analyze massive security telemetry, build ML models to reduce noise and false positives, and create dashboards to drive data-driven governance.

The role requires 5+ years of data science experience with direct commercial application to vulnerability management and the ability

Qualificações

• 5+ years of commercial data science experience, autonomous with minimal supervision.
• Advanced proficiency in Python, R, and SQL.
• Experience with machine learning frameworks such as TensorFlow and PyTorch.
• Experience with data visualization tools.
• Commercial experience applying data science to vulnerability management.
• Upper-intermediate English.

Responsabilidades

• Develop predictive models and analytics to prioritize vulnerabilities by risk and business impact.
• Structure and analyze large security data outputs to support the ASPM framework.
• Create ML algorithms to filter noise and false positives.
• Establish a unified data delivery structure and dashboards for data-driven security governance.

Conhecimentos

5+ years data science

Python

R

SQL

Data visualization

Vulnerability management

English (upper-intermediate)

Ferramentas

TensorFlow

PyTorch

Descrição da oferta de emprego

AgileEngine is seeking a Senior Data Scientist in Lisbon, Portugal, to develop predictive models and analytics powering risk-based vulnerability prioritization within a large-scale security program. You will structure and analyze massive security telemetry, build ML models to reduce noise and false positives, and create dashboards to drive data-driven governance.

The role requires 5+ years of data science experience with direct commercial application to vulnerability management and the ability