Data Scientist

GeoEdge is a cybersecurity company, but our passion is people. Keeping digital advertising a trusted, safe space for people to enjoy is what we live for. We’re hard at work, protecting ad platforms, app developers, website owners, and their users from bad ads.

Our technology protects the integrity of the digital advertising ecosystem and eliminates bad ads in real-time before online users ever see them. As a bootstrapped startup in the game for 10+ years, we know cyber challenges never rest- and neither do we!

GeoEdge is seeking a highly skilled and motivated Data Scientist. Join our team and become a guardian of millions of users, shielding them from the sneakiest malware attacks in the online advertising world. Your mission? To be the digital superhero who identifies, dissects, and mitigates both emerging and established threats, while crafting innovative ways to counter the ever-changing threat landscape.

As part of our tight-knit crew, you'll be collaborating hand-in-hand, with our superior Research and Development (R&D) team. Together, we'll brainstorm ingenious solutions that keep users safe and sound, no matter if they're on mobile or desktop. Ready to be the hero our digital world needs?

Responsibilities



• Conduct data discovery across our data sources and feature engineering to understand and optimize for training
• Work closely with Security Researchers and subject-matter experts, to solve Cybersecurity problems with AI
• Monitor degradation of our models in production, and help build automatic optimization cycles
• Develop machine learning solutions in the AdTech space, for content and security problems
• Collaborate with software engineers and lead the life cycle of our models from research to production
  
  

• Minimum of 3 years’ hands-on’ experience in Data Science and Machine Learning
• Proven experience in techniques of anomaly detection, clustering, and unsupervised learning
• Model development in Python, plus some of the popular frameworks (e.g., PyTorch or TensorFlow)
• Bachelor’s degree in Computer Science or Machine Learning, or equivalent
• Excellent English communication and data presentation skills
• Bonus: MLOps experience in some of the following: AWS, Kubernetes, ETLs, Spark
• Bonus: Previous experience in the AdTech industry or Cybersecurity