AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups. We are currently seeking a Senior Data Scientist to join our team and develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program.
Key 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.
Requirements
- 5+ years of commercial data science experience, operating completely autonomously.
- Advanced proficiency in Python, R, and SQL.
- Experience with machine learning frameworks such as TensorFlow and PyTorch.
- Commercial experience applying data science to vulnerability management.
- Upper-intermediate English level.
What we offer
- Professional growth through mentorship, TechTalks, and personalized growth roadmaps.
- Competitive USD-based compensation with budgets for education, fitness, and team activities.
- Opportunities to work on exciting projects with modern solutions for top-tier clients.
- Flextime options to tailor your schedule for an optimal work-life balance.