Senior Data Scientist ID71658

AgileEngine

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of data science experience in cybersecurity or financial risk models
  • Advanced proficiency in Python, R, and SQL
  • Experience with machine learning frameworks like TensorFlow and PyTorch
  • Proven ability to operate effectively with no supervision
  • Upper-intermediate English proficiency

Responsibilities

  • Develop predictive models to assess and prioritize vulnerabilities
  • Analyze extensive security data sets to support enterprise security frameworks
  • Create machine learning algorithms to filter noise and false positives
  • Establish data dashboards to promote data-driven security governance

Benefits

  • Mentorship programs and personalized growth roadmaps for professional development
  • Budgets for education, fitness, and team activities to promote well-being
  • Opportunity to work on cutting-edge projects with Fortune 500 companies
  • Flexible work schedules with both remote and office options available
Full Job Description
Job Description

ABOUT THE ROLE

We are looking for a Senior/Lead 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 ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.

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.

MUST HAVES

- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;

- 6+ 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 (TensorFlow, PyTorch) and data visualization tools;

- Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models;

- Upper-intermediate English level.

NICE TO HAVES

- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).

PERKS AND 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.

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