Senior Data Scientist - Security Risk Modeling (Remote)

AgileEngine, LLC.; Warszawa; Hybrid; PLN 448,000 - 672,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime (remote/office options)

Job summary

AgileEngine, LLC. is seeking a Senior 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 noise and false positives, and design unified dashboards to enable data-driven governance. The role requires 5+ years of commercial DS experience, autonomy, and strong skills in Python, R, SQL, TensorFlow or PyTorch, and data

Qualifications

• 5+ 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 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 autonomous data science

Python, R, SQL

Machine learning (TensorFlow, PyTorch)

Data visualization

DS for vulnerability management

Tools

TensorFlow

PyTorch

Data visualization tools

Job description

AgileEngine, LLC. is seeking a Senior 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 noise and false positives, and design unified dashboards to enable data-driven governance. The role requires 5+ years of commercial DS experience, autonomy, and strong skills in Python, R, SQL, TensorFlow or PyTorch, and data