Director Of Detection Models & Data Analytics

101

Not specified; not specified; comprehensive benefi...
7+ years devops experience
Machine learning model deployment
Feature engineering high-cardinality datasets
The role involves driving the end-to-end strategy for threat management by designing and deploying advanced statistical and machine learning models

Job Summary

  • The role involves driving the end-to-end strategy for threat management by designing and deploying advanced statistical and machine learning models.
  • Candidates must have a proven track record of managing the ML Ops lifecycle, including handling model drift and retraining pipelines.
  • North offers a comprehensive benefits package including medical coverage, flexible PTO, and company-funded lifestyle spending accounts.

Matching Summary

The role involves driving the end-to-end strategy for threat management by designing and deploying advanced statistical and machine learning models.

Salary

Not specified; Not specified; Comprehensive benefits package including Medical, Dental, Vision, 401(k) Match, and Paid Time Off

Skills & Requirements

Must-have

  • 7+ years DevOps experience
  • Machine Learning model deployment
  • Feature engineering high-cardinality datasets
  • ML Ops lifecycle management
  • SIEM SOAR EDR technologies
  • CI/CD pipeline integration

Nice-to-have

  • Cross-functional collaboration skills
  • Data-informed continuous improvement
  • ROI demonstration capabilities

Key Requirements

  • Bachelor's degree in related field or equivalent
  • 7+ years of experience in DevOps
  • Expertise in feature engineering for high-cardinality datasets
  • Understanding of security operations and incident response

Work Rights

Must be eligible to work in the US without sponsorship

Tailored Resume

Cover Letter