Senior Data Scientist, Security Risk & Predictive Analytics

AgileEngine; Warszawa; Hybrid; PLN 447,000 - 670,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500

Flexibility: remote and office options

Job summary

AgileEngine is seeking a Senior Data Scientist to build predictive models and analytics for risk-based vulnerability prioritization within a large-scale security program. You will work with massive telemetry data, develop ML algorithms to reduce noise and false positives, and create dashboards for governance across the enterprise.

The role requires 5+ years of data science experience with direct commercial application to vulnerability management and the ability to operate autonomously.

Qualifications

• 5+ years of commercial data science experience, autonomous work
• Proficiency in Python, R and SQL
• Experience with ML frameworks such as TensorFlow and PyTorch and data visualization
• Commercial experience applying data science to vulnerability management
• Upper-intermediate English level

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

Autonomous work

Python

R

SQL

TensorFlow

PyTorch

Data visualization

Vulnerability management

English (upper-intermediate)

Job description

AgileEngine is seeking a Senior Data Scientist to build predictive models and analytics for risk-based vulnerability prioritization within a large-scale security program. You will work with massive telemetry data, develop ML algorithms to reduce noise and false positives, and create dashboards for governance across the enterprise.

The role requires 5+ years of data science experience with direct commercial application to vulnerability management and the ability to operate autonomously.