Data Science

Responsibilities:  

• Gather data for the Use Case from Security Operation Center (SOC)
• Research on the subject to come up with a model
• Select the algorithm for the model
• Implement the model in Python
• Train the model and validate with SOC
• Document the work.
• Maintain the model after releasing it to production.

Requirement:

• Knowledge of Core Python
• Proficiency in Machine learning algorithms (SVM, Decision Trees, PCA, Clustering, etc.)
• Knowledge of Deep Learning Algorithms (CNN, RNN, LSTM, etc.)
• Major ML frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn
• Strong analytical thinking
• Designs scalable processes to collect, manipulate, present, and analyze large datasets in a production-ready environment
• Strong written and oral skills (in English)
• Demonstrated participation on platforms like Kaggle is a plus
• Prefer great appreciation or expertise in Security products such as Endpoint detection, protection, and response, Managed Detection and response, etc
• Experience in Anomaly Detection is a plus.