Senior Data Scientist

Empirical Security

WorldwideFully remoteFull TimeSeniorInformation Technology
No salary statedPosted 2w ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 18 days ago · apply link checked 27 minutes ago

About the role

Responsibilities

  • Design, train, and ship exploit prediction models against ground-truth exploitation telemetry
  • Build robust evaluation metrics including precision, recall, coverage, efficiency, and calibration
  • Solve for extreme class imbalance in published CVEs
  • Implement dual-model architecture using partial pooling and hierarchical priors
  • Engineer features across scanner output, EDR, asset inventory, identity, and cloud posture
  • Own monitoring and drift detection
  • Publish methodology write-ups, open benchmarks, and conference talks
  • Partner with engineering and forward deployed teams to move models into production

Requirements

  • Several years of applied machine learning or statistics with production-level models
  • Fluency in Python and SQL
  • Experience with version control and reproducible pipelines
  • Depth in classification under heavy imbalance
  • Expertise in at least one of: survival and time-to-event analysis, Bayesian hierarchical modeling, or causal inference
  • Ability to quantify uncertainty and explain complex models to security executives

About the Company

Empirical Security leverages ground-truth telemetry to develop predictive, actionable insights that transform how organizations identify, prioritize, and remediate vulnerabilities in cloud, appsec, and traditional environments.

What we look for

  • Applied machine learning or statistics experience
  • Production model deployment experience
  • Fluency in Python and SQL
  • Version control and reproducible pipelines
  • Classification under heavy imbalance
  • Survival analysis or Bayesian hierarchical modeling or causal inference
  • Ability to explain models to executives
PythonSQLMachine LearningBayesian ModelingCausal Inference
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