Data Scientist

AgileEngine; España; Hybrid; PHP 4,219,409 - 6,027,728; Full time

Benefits offered by this job

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine is searching for a Senior Data Scientist based in the Philippines, Romblon, España. This role involves developing predictive models and quantitative analytics to prioritize vulnerabilities within a large-scale enterprise security program. Applicants should have over 6 years of experience in data science focused on cybersecurity and possess advanced skills in Python and R.

The position offers opportunities for professional growth, competitive compensation, and flexibility in work hours to ensure optimal work-life balance.

Qualifications

• 6+ years of commercial data science experience, operating autonomously.
• Advanced proficiency in Python, R, and SQL.
• Experience with machine learning frameworks and data visualization tools.

Responsibilities

• Develop predictive models for vulnerability prioritization.
• Analyze security data for the ASPM framework.
• Create ML algorithms to filter out scanning noise.
• Establish unified data delivery structures and dashboards.

Skills

Data science

Python

R

SQL

Machine learning

Data visualization

Tools

TensorFlow

PyTorch

Job description

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 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.

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

• 6+ 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 (TensorFlow, PyTorch) and data visualization tools;
• Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models;

Nice to haves

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

Perks and Benefits

• Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

• Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

• A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

• Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.