Senior Data Scientist: Security Analytics & Prioritization

AgileEngine, LLC.; Valencia; Híbrido; EUR 105.000 - 158.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500 and

Flextime

Descripción de la vacante

AgileEngine, LLC. is seeking a Senior Data Scientist to develop predictive models and analytics that prioritize vulnerabilities in a large-scale security program.

You will structure massive telemetry data, build ML algorithms to reduce noise and false positives, and establish dashboards to drive data-driven governance. Requires 4+ years of commercial data science experience with vulnerability management, and proficiency in Python, R, SQL, plus TensorFlow/PyTorch.

Formación

• 4+ years of commercial data science experience, autonomous with no required supervision.
• Advanced proficiency in Python, R, and SQL.
• Experience with ML frameworks such as TensorFlow and PyTorch.
• Experience with data visualization tools.
• Commercial 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 security data from across the enterprise to support the ASPM framework.
• Create machine learning 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.

Conocimientos

4+ years data science

Python

R

SQL

Data visualization

Vulnerability management

Herramientas

TensorFlow

PyTorch

Descripción del empleo

AgileEngine, LLC. is seeking a Senior Data Scientist to develop predictive models and analytics that prioritize vulnerabilities in a large-scale security program.

You will structure massive telemetry data, build ML algorithms to reduce noise and false positives, and establish dashboards to drive data-driven governance. Requires 4+ years of commercial data science experience with vulnerability management, and proficiency in Python, R, SQL, plus TensorFlow/PyTorch.