Senior Data Scientist ID70128

AgileEngine, LLC.; Coimbra; Presencial; EUR 65 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth

Competitive compensation

Exciting projects

Flextime

Resumo da oferta

AgileEngine, LLC is seeking a Senior Data Scientist to develop predictive models and analytics powering risk-based vulnerability prioritization within a large-scale security program. You will structure massive telemetry data, build ML algorithms to reduce noise, and create unified dashboards to drive data-driven security governance.

The role requires 5+ years of data science experience with direct commercial application to vulnerability management, operating with full autonomy and fluency in

Qualificações

• 5+ years of commercial data science experience, autonomously.
• Advanced proficiency in Python, R, and SQL.
• Experience with ML frameworks like TensorFlow and PyTorch.
• Experience with data visualization tools.
• Commercial experience applying data science to vulnerability management.

Responsabilidades

• Develop predictive models to prioritize vulnerabilities based on risk and business impact.
• Analyze large security telemetry datasets across the enterprise.
• Create ML models to filter scanning noise and reduce false positives.
• Build dashboards and data delivery structures to drive governance adoption.

Conhecimentos

Python

R

SQL

Machine Learning

Data analysis

Ferramentas

TensorFlow

PyTorch

Data Visualization tools

Descrição da oferta de emprego

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.