Senior Data Scientist ID70128

AgileEngineIrving, IL
Remote

About The Position

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 machine learning algorithms to eliminate scanning noise and false positives, and establish unified dashboards that drive adoption of data-driven security governance. The role requires extensive data science experience applied to cybersecurity, vulnerability management, or financial risk modeling.

Requirements

  • 6+ years of commercial Data Science experience with the ability to operate autonomously and independently;
  • Advanced proficiency in Python, R, and SQL;
  • Experience with machine learning frameworks such as TensorFlow and PyTorch;
  • Experience with data visualization and reporting tools;
  • Prior commercial experience applying Data Science to cybersecurity, vulnerability management, or financial risk models;
  • Strong analytical and quantitative problem-solving skills;
  • Upper-intermediate English level.

Nice To Haves

  • Familiarity with Cloud Security Posture Management (CSPM) platforms and data outputs, such as Wiz.

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 and statistical models to automatically identify and filter scanning noise and false positives;
  • Establish unified data delivery structures, reporting frameworks, and dashboards to support data-driven security governance;
  • Analyze large-scale security telemetry datasets to generate actionable insights;
  • Collaborate with security, engineering, and platform teams to improve risk visibility and prioritization processes;
  • Drive the adoption of advanced analytics and machine learning techniques across vulnerability management workflows.

Benefits

  • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive compensation.
  • Exciting projects: Join projects with modern solutions development and top-tier clients, including Fortune 500 enterprises and leading product brands.
  • Work-life balance: Flexible work environment designed to support productivity and personal well-being.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service