Senior Data Scientist, Security Risk & Predictive Analytics

AgileEngine; Portugal; Híbrido; EUR 104 000 - 147 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth

Competitive USD compensation

Flex time

Projects with Fortune 500 clients

Resumo da oferta

AgileEngine is seeking a Senior/Lead Data Scientist to build predictive models and analytics for risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure massive security telemetry, develop ML algorithms to reduce scanning noise, and establish data dashboards to promote data-driven governance.

The role requires at least 5 years of commercial data science experience with full autonomy, expert Python/R/SQL skills, and experience with TensorFlow

Qualificações

• 5+ years of commercial data science experience with autonomy.
• Proficient in Python, R and SQL.
• Experience with TensorFlow and PyTorch.
• Experience using data visualization tools.
• Applied data science to vulnerability management.

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 to support ASPM.
• Create ML algorithms to automatically identify and filter scanning noise and false positives.
• Establish a unified data delivery structure and dashboards to drive data‑driven security governance.

Conhecimentos

Data science experience

Python

R

SQL

Commercial data science

Autonomy

Data analysis

Ferramentas

TensorFlow

PyTorch

Data visualization tools

Descrição da oferta de emprego

AgileEngine is seeking a Senior/Lead Data Scientist to build predictive models and analytics for risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure massive security telemetry, develop ML algorithms to reduce scanning noise, and establish data dashboards to promote data-driven governance.

The role requires at least 5 years of commercial data science experience with full autonomy, expert Python/R/SQL skills, and experience with TensorFlow