Senior Data Scientist: Vulnerability Risk & ML (Remote)

AgileEngine, LLC.; Barcelona; Híbrido; EUR 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine, LLC. is seeking a Senior Data Scientist to develop predictive models and analytics for risk-based vulnerability prioritization within a large security program.

You will structure massive telemetry data, build ML models to reduce noise, and establish dashboards to drive data-driven governance. Ideal candidates have 5+ years in data science with direct application to vulnerability management, and strong Python, R, SQL skills plus experience with TensorFlow/PyTorch and data

Formación

• 5+ years of commercial data science experience, operating autonomously.
• Advanced Python, R, and SQL skills.
• Experience with ML frameworks (TensorFlow, PyTorch).
• Experience with data visualization tools.
• Experience applying 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 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.

Conocimientos

Data science

Python

R

SQL

TensorFlow

PyTorch

Data visualization

Vulnerability management

Autonomy

Herramientas

TensorFlow

PyTorch

Descripción del empleo

AgileEngine, LLC. is seeking a Senior Data Scientist to develop predictive models and analytics for risk-based vulnerability prioritization within a large security program.

You will structure massive telemetry data, build ML models to reduce noise, and establish dashboards to drive data-driven governance. Ideal candidates have 5+ years in data science with direct application to vulnerability management, and strong Python, R, SQL skills plus experience with TensorFlow/PyTorch and data