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Data analyst

Budapest, HU, 1117

Technology Office

The Sophos AI team is seeking a data analyst to help ensure the quality of the machine learning technologies we ship to protect our customers.  Sophos AI is an international organization within Sophos responsible for all machine learning research, development, deployment, and operations.  As a data analyst on the Sophos AI model quality team you will:

  • Work with an international data science organization to protect tens of millions of Sophos customer endpoints from cyber attacks
  • Drive improvements to the quality of Sophos AI’s machine learning training data through improved data labeling
  • Drive improvements to the quality of Sophos AI’s model predictions by discovering and analyzing model false-negatives and false-positives
  • Drive improvements to Sophos’ cyber threat detection capabilities by creating, testing and deploying rule-based guardrails for Sophos’ machine learning models
  • Help develop and deploy tooling based on Python, Linux, and AWS services to enhance the performance of your team
  • Drive situational awareness of Sophos AI’s machine learning operations through regular robust reporting on training data quality, model training, and model accuracy
  • Help write blog posts and other outward facing materials on what you are seeing in the cyber threat landscape and in the performance of Sophos’ machine learning models

 

Requirements:

  • 5 years of relevant experience
  • At least 3 years’ experience programming in Python
  • At least 5 years’ experience in cybersecurity
  • Experience with data analysis in Python and SQL
  • Experience writing complex regular expressions
  • Strong English communication skills

 

At Sophos, we want every organization to be protected by innovative, next-generation IT security, even those who don't have a huge IT staff. We protect organizations of all sizes, all around the world by making enterprise-grade security that is simple to deploy, manage, and use. It is our passion, and something we are truly proud of.


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