Senior Data Scientist ID70128

AgileEngine, LLC.; Barcelona; Presencial; 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

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 5+ years of data science experience with direct commercial application to vulnerability management, operating with full autonomy.

WHAT YOU WILL DO

• - 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.

MUST HAVES

• - 5+ years of commercial data science experience, operating completely autonomously with no required supervision;
• - Advanced proficiency in Python, R, and SQL;
• - Experience with machine learning frameworks such as TensorFlow and PyTorch;
• - Experience with data visualization tools;
• - Commercial experience applying data science to vulnerability management;

NICE TO HAVES

• - Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).

PERKS AND BENEFITS

• - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• - Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• - Exciting projects: Modern solutions with Fortune 500 and top product companies.
• - Flextime: Flexible schedule with remote and office options.

Meet Our Recruitment Process

Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.