Senior Data Scientist - Security & Vulnerability Analytics

AgileEngine, LLC.; Poznań; Hybrid; PLN 345,000 - 575,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine, LLC is seeking a Senior Data Scientist to design predictive models and analytics that prioritize vulnerabilities based on risk and business impact. You will handle large-scale security telemetry, build ML algorithms to reduce noise, and create dashboards for governance adoption.

The role requires 4+ years of commercial data science experience, with proficiency in Python, R, SQL, TensorFlow, and PyTorch, and prior work in vulnerability management.

Qualifications

• 4+ years of commercial data science experience.
• 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

4+ years experience

Python

R

SQL

TensorFlow

PyTorch

Data visualization

Vulnerability management

Tools

TensorFlow

PyTorch

Job description

AgileEngine, LLC is seeking a Senior Data Scientist to design predictive models and analytics that prioritize vulnerabilities based on risk and business impact. You will handle large-scale security telemetry, build ML algorithms to reduce noise, and create dashboards for governance adoption.

The role requires 4+ years of commercial data science experience, with proficiency in Python, R, SQL, TensorFlow, and PyTorch, and prior work in vulnerability management.