Senior Data Scientist - Predictive Risk & Security Analytics

AgileEngine; Spain (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Flexible/flextime schedule

Projects with Fortune 500 clients

Job summary

AgileEngine is seeking a Senior/Lead Data Scientist to develop predictive models and analytics that power risk-based vulnerability prioritization within a large‑scale security program. You will structure massive security telemetry datasets, build ML algorithms to reduce scanning noise and false positives, and establish unified dashboards to drive data‑driven security governance.

With 5+ years of commercial data science experience, you will apply advanced skills in Python, R, SQL, and ML

Qualifications

• 5+ years of commercial data science experience
• Advanced proficiency in Python
• Advanced proficiency in R
• Advanced proficiency in SQL
• Experience with machine learning frameworks such as TensorFlow and PyTorch
• Experience with data visualization tools
• Commercial experience applying data science to vulnerability management

Responsibilities

• 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

Skills

5+ years experience

Python

R

SQL

TensorFlow

PyTorch

Data visualization

Vulnerability management

Tools

TensorFlow

PyTorch

Job description

AgileEngine is seeking a Senior/Lead Data Scientist to develop predictive models and analytics that power risk-based vulnerability prioritization within a large‑scale security program. You will structure massive security telemetry datasets, build ML algorithms to reduce scanning noise and false positives, and establish unified dashboards to drive data‑driven security governance.

With 5+ years of commercial data science experience, you will apply advanced skills in Python, R, SQL, and ML