Senior Data Scientist - Security Risk & ML (Remote)

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

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Senior Data Scientist to develop predictive models and analytics that drive risk-based vulnerability prioritization within a large-scale security program.

You will analyze massive security telemetry, build ML algorithms to reduce noise, and create dashboards for data-driven security governance, operating with high autonomy. The role requires 5+ years of data science experience with direct commercial application to vulnerability management, and entails working

Qualifications

• 5+ years of commercial data science experience with full autonomy.
• Proficient in Python, R, and SQL.
• Experience with ML frameworks such as TensorFlow and PyTorch.
• Experience with data visualization tools.
• 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

Data science

Python

SQL

R

Autonomy

Tools

TensorFlow

PyTorch

Data visualization tools

Job description

AgileEngine, LLC. is seeking a Senior Data Scientist to develop predictive models and analytics that drive risk-based vulnerability prioritization within a large-scale security program.

You will analyze massive security telemetry, build ML algorithms to reduce noise, and create dashboards for data-driven security governance, operating with high autonomy. The role requires 5+ years of data science experience with direct commercial application to vulnerability management, and entails working