Data Scientist Team Lead

New
Remote/TeleworkFull-TimeLead
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
DockerPythonCybersecurityKubernetesMachine LearningData scienceData visualizationData modeling

Requirements

  • Master’s or PhD degree in a quantitative field (Statistics, Engineering, Computer Science, or Economics) or equivalent experience.
  • 5+ years of experience with machine learning engineering, data science, or software development for data solutions.
  • Proven experience designing technical solutions and leading a team through implementation.
  • Proficiency in object-oriented programming languages such as Python, C++, Java, R, or Scala.
  • Experience with containerization tools, including Kubernetes and Docker.
  • Experience architecting novel analytic methods using machine learning methodologies.
  • Experience developing data-oriented tasks for cybersecurity, such as ML algorithms for cyber defense.
  • Experience engineering data workflows to merge disparate data sources.
  • Experience developing security tool automation and custom applications.
  • Certified Analytics Professional (CAP) certification required.

Responsibilities

  • Lead the design and implementation of technical data science solutions supporting enterprise cybersecurity operations.
  • Develop data models and automation capabilities that enhance security monitoring, detection, threat hunting, and UEBA.
  • Design custom algorithms and data architectures for complex enterprise-scale data sets.
  • Develop machine learning algorithms to identify anomalous behavior and emerging cyber threats.
  • Create visualizations and dashboards to communicate cybersecurity data, trends, and risks to leadership.
  • Design and develop automation supporting security tool administration and analytical workflows.
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