Senior Data Scientist: Vulnerability Risk Analytics

AgileEngine; Town of Poland (NY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Remote work options

Job summary

AgileEngine is seeking a Senior/Lead Data Scientist to build predictive models and analytics for risk-based vulnerability prioritization within a large-scale security program. You will structure massive security telemetry data, develop ML models to reduce noise and false positives, and set up unified dashboards for governance adoption.

Requirements include 5+ years of commercial data science experience, expert Python/R/SQL skills, and experience with TensorFlow or PyTorch, plus data

Qualifications

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

Responsibilities

• Develop predictive models and analytics to prioritize vulnerabilities by risk and business impact
• Structure and analyze large security telemetry datasets for the ASPM framework
• Create ML algorithms to filter scanning noise and false positives
• Establish dashboards and data delivery structures to drive data-driven security governance

Skills

5+ years experience

Python

R

SQL

TensorFlow

PyTorch

Data visualization

Job description

AgileEngine is seeking a Senior/Lead Data Scientist to build predictive models and analytics for risk-based vulnerability prioritization within a large-scale security program. You will structure massive security telemetry data, develop ML models to reduce noise and false positives, and set up unified dashboards for governance adoption.

Requirements include 5+ years of commercial data science experience, expert Python/R/SQL skills, and experience with TensorFlow or PyTorch, plus data