Senior Data Scientist ID70128

AgileEngine; Coimbra; Híbrido; EUR 78 000 - 113 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth

Competitive pay

Exciting projects

Flextime & hybrid

Resumo da oferta

AgileEngine in Coimbra, Portugal seeks a Senior Data Scientist to develop predictive models and analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program.

You will structure and analyze massive security telemetry data, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance.

Qualificações

• 5+ years of commercial data science experience with autonomy.
• Proficient in Python, R, and SQL.
• Experience applying data science to vulnerability management.
• Upper-intermediate English proficiency.
• Experience with ML frameworks like TensorFlow or PyTorch.
• Ability to structure large security telemetry datasets.

Responsabilidades

• Develop predictive models to prioritize vulnerabilities.
• Structure and analyze massive security telemetry datasets.
• Build ML algorithms to reduce scanning noise and false positives.
• Create dashboards for data-driven security governance.

Conhecimentos

Autonomy

5+ years experience

Vulnerability management

Ferramentas

Python

R

SQL

TensorFlow

PyTorch

Data viz tools

Descrição da oferta de emprego

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

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;
• - Upper-intermediate English level.

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

Application - Coding Challenge - Video Interview - Technical Interview or Hiring Manager Interview
Each step helps us understand your skills and overall fit.
If it’s a match, you’ll receive an offer.