Senior Data Scientist - Remote Security Risk Analytics

AgileEngine, LLC.

Lisboa

Híbrido

EUR 90 000 - 130 000

Tempo integral

14 dias+
Gerador de candidaturas

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Professional growth
Competitive USD compensation
Exciting projects
Flextime

Resumo da oferta

AgileEngine is seeking a Senior Data Scientist to develop predictive models and analytics that power risk-based vulnerability prioritization within a large-scale security program. You will analyze massive security telemetry, build ML algorithms to reduce noise, and create dashboards to drive data-driven governance.

Requires 4+ years of commercial data science experience with direct vulnerability management application, and autonomy to work independently with Python, R, and SQL.

Qualificações

  • 4+ years of commercial data science experience
  • 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

Responsabilidades

  • Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact
  • Structure and analyze massive outputs of security data to support enterprise ASPM framework
  • Create ML algorithms to filter out scanning noise and false positives
  • Establish unified data delivery structures and dashboards to drive data-driven security governance

Conhecimentos

Python
R
SQL
Vulnerability mgmt

Ferramentas

TensorFlow
PyTorch

Descrição da oferta de emprego

AgileEngine is seeking a Senior Data Scientist to develop predictive models and analytics that power risk-based vulnerability prioritization within a large-scale security program. You will analyze massive security telemetry, build ML algorithms to reduce noise, and create dashboards to drive data-driven governance.

Requires 4+ years of commercial data science experience with direct vulnerability management application, and autonomy to work independently with Python, R, and SQL.

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