Senior Data Scientist – Risk-Based Vulnerability Prioritization

About the role

We are seeking a Senior Data Scientist to design predictive models and quantitative analytics that drive risk-based vulnerability prioritization for a large-scale enterprise security program. You will work with massive security telemetry data, build ML algorithms to reduce noise, and create unified dashboards to support data-driven security governance.

Key responsibilities

• Develop predictive models and analytics to rank vulnerabilities by contextual risk and business impact.
• Structure and analyze large security data sets across the enterprise to support the ASPM framework.
• Design machine-learning or statistical algorithms that automatically filter scanning noise and false positives.
• Establish unified data delivery pipelines and dashboards to promote data-driven security governance.

Required profile

• 5+ years of commercial data-science experience, working autonomously.
• Upper-intermediate English proficiency.
• Experience applying data science to vulnerability management.

Required skills

• Advanced proficiency in Python, R and SQL.
• Experience with machine-learning frameworks such as TensorFlow and PyTorch.
• Proficiency with data-visualization tools.

What we offer

• Professional growth through mentorship, TechTalks and personalized development roadmaps.
• Competitive USD-based compensation with education, fitness and team activity budgets.
• Exciting projects for Fortune 500 and leading product companies.
• Flexible schedule with remote and office options.