Senior Data Scientist

Role Overview

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 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.

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.

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.