Senior Data Scientist - Security Risk & ML (Remote)

AgileEngine; Madrid; Híbrido; EUR 104.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based pay

Flextime with remote and office option

Descripción de la vacante

AgileEngine, an Inc. 5000 company, is seeking a Senior Data Scientist in Madrid to develop predictive models and analytics for vulnerability prioritization within a large-scale security program.

You will work autonomously to structure massive telemetry data, build ML algorithms to reduce noise and false positives, and create dashboards to drive data-driven governance. The role requires 5+ years of commercial data science experience with direct application to vulnerability management, plus strong

Formación

• 5+ years of commercial data science experience with autonomy.
• Proficiency in Python, R and SQL.
• Experience with machine learning frameworks such as TensorFlow and PyTorch.
• Experience with data visualization tools.
• Upper-intermediate English level.

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 the ASPM framework.
• Create machine learning algorithms or statistical models to 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.

Conocimientos

Python

R

SQL

TensorFlow

PyTorch

Data Visualization

English

Descripción del empleo

AgileEngine, an Inc. 5000 company, is seeking a Senior Data Scientist in Madrid to develop predictive models and analytics for vulnerability prioritization within a large-scale security program.

You will work autonomously to structure massive telemetry data, build ML algorithms to reduce noise and false positives, and create dashboards to drive data-driven governance. The role requires 5+ years of commercial data science experience with direct application to vulnerability management, plus strong