Senior Data Scientist – Vulnerability ML, Flexible/Remote

AgileEngine, LLC.; Barcelona; Híbrido; EUR 79.000 - 105.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime (work from home or office)

Descripción de la vacante

AgileEngine is seeking a Senior Data Scientist to build predictive models and analytics that prioritize vulnerabilities with contextual risk and business impact. You will structure massive security data, develop ML algorithms to reduce scanning noise, and create unified dashboards for data-driven security governance.

This role requires 4+ years of commercial data science experience with autonomous operation, strong Python/R/SQL skills, and expertise in TensorFlow or PyTorch, plus data

Formación

• 4+ years of commercial data science experience (autonomous).
• Proficient in Python, R, and SQL.
• Experience with ML frameworks such as TensorFlow and PyTorch.
• Experience applying data science to vulnerability management.

Responsabilidades

• Develop predictive models and analytics to prioritize vulnerabilities based on risk and business impact.
• Analyze large security telemetry datasets to support the ASPM framework.
• Create ML algorithms to filter noise and false positives in scans.
• Establish dashboards and data delivery structures to drive data-driven governance.

Conocimientos

4+ years of commercial data science

Python

R

SQL

TensorFlow

PyTorch

Data visualization

Vulnerability management

Herramientas

TensorFlow

PyTorch

Python

R

SQL

Data visualization tools

Descripción del empleo

AgileEngine is seeking a Senior Data Scientist to build predictive models and analytics that prioritize vulnerabilities with contextual risk and business impact. You will structure massive security data, develop ML algorithms to reduce scanning noise, and create unified dashboards for data-driven security governance.

This role requires 4+ years of commercial data science experience with autonomous operation, strong Python/R/SQL skills, and expertise in TensorFlow or PyTorch, plus data