Senior Data Scientist ID70128

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

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine 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 analyze massive security telemetry, build ML algorithms to reduce noise, and establish unified dashboards to drive data-driven governance.

Required 5+ years of data science experience with direct commercial application to vulnerability management, and autonomy in delivery across the enterprise.

Qualifications

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

Responsibilities

• Develop predictive models and analytics to prioritize vulnerabilities based on contextual risk and business impact.
• Structure and analyze massive security telemetry data across the enterprise to support ASPM.
• Create ML algorithms to filter out scanning noise and false positives.
• Establish data dashboards and a unified data delivery structure for governance.

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 5+ years of data science experience with direct commercial application to vulnerability management, operating with full autonomy.

WHAT YOU WILL DO

• 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.

MUST HAVES

• 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;

NICE TO HAVES

• Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.

Meet Our Recruitment Process

Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.