Senior Data Scientist - Security Risk Analytics

AgileEngine; Coimbra; Híbrido; EUR 94 000 - 137 000; 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 to develop predictive models and analytics powering vulnerability prioritization within a large-scale security program. You will structure massive security telemetry data, build ML algorithms to filter scanning noise, and create unified dashboards to drive data-driven governance.

Expect 5+ years of data science experience, advanced Python/R/SQL skills, and hands-on ML with TensorFlow or PyTorch.

Qualificações

• 5+ years of commercial data science experience operating autonomously.
• Advanced Python, R, and SQL proficiency.
• Experience with ML frameworks such as TensorFlow and PyTorch.
• Experience with data visualization tools.
• Commercial data science applied to vulnerability management.
• Upper-intermediate English.

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

Machine Learning

Data Visualization

Autonomy

English (Upper-Intermediate)

Ferramentas

TensorFlow

PyTorch

Descrição da oferta de emprego

AgileEngine is seeking a Senior Data Scientist to develop predictive models and analytics powering vulnerability prioritization within a large-scale security program. You will structure massive security telemetry data, build ML algorithms to filter scanning noise, and create unified dashboards to drive data-driven governance.

Expect 5+ years of data science experience, advanced Python/R/SQL skills, and hands-on ML with TensorFlow or PyTorch.