Anomaly-based Malware Detection via Machine Learning

I'm seeking a proficient data scientist with extensive experience in machine learning and cybersecurity. The project revolves around creating an anomaly-based malware detection system using unsupervised learning techniques. The model will be trained primarily on network traffic data.

Key Responsibilities:
- Develop an anomaly-based malware detection system using machine learning.
- Utilize any machine learning techniques to train the model.
- Work with network traffic data to identify potential threats.

Ideal Skills:
- Proficiency in machine learning, particularly unsupervised learning.
- Experience in cybersecurity and malware detection.
- Strong skills in data analysis and interpretation.

Please provide examples of similar projects you've worked on in your proposal.