Senior Data Scientist: Security Risk & AI Analytics

AgileEngine, LLC.; Porto; Híbrido; EUR 70 000 - 90 000; 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 in Porto to develop predictive models that prioritize vulnerabilities within a large-scale security program. You will structure and analyze massive security telemetry data, build ML algorithms to reduce noise, and establish dashboards to drive data-driven security governance.

The role requires 4+ years of commercial data science experience in vulnerability management and full autonomy, with flexible work options and a competitive compensation

Qualificações

• 4+ years commercial data science experience
• Advanced Python, R, SQL proficiency
• Experience with ML frameworks (TensorFlow, PyTorch)
• Experience applying data science to vulnerability management
• Data visualization experience

Responsabilidades

• Develop predictive models and quantitative 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

4+ years data science

Python

R

SQL

TensorFlow

PyTorch

Data visualization

Vulnerability mgmt

Ferramentas

TensorFlow

PyTorch

Descrição da oferta de emprego

AgileEngine is seeking a Senior Data Scientist in Porto to develop predictive models that prioritize vulnerabilities within a large-scale security program. You will structure and analyze massive security telemetry data, build ML algorithms to reduce noise, and establish dashboards to drive data-driven security governance.

The role requires 4+ years of commercial data science experience in vulnerability management and full autonomy, with flexible work options and a competitive compensation