Role Overview
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups. 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.
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; 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.
Why It Might Be a Fit
The role requires 5+ years of data science experience with direct commercial application to vulnerability management, operating with full autonomy. We offer professional growth, competitive compensation, exciting projects, and flextime.
Requirements
- 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
- Upper-intermediate English level
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
To apply for this job please visit agileengine.zohorecruit.com.

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