Data Scientist-machine learning cybersecurity

We are looking for an enthusiastic, performance-driven team player, who will be a Data Scientist. The Data Scientist will be responsible for dealing with huge amounts of cyber-related data and implementing innovative approaches of the next generation deep learning models for our security products.

The role involves hands-on responsibilities, working closely with the security research and intelligence teams. The position requires multitasking in a fast-paced environment with high-quality, accurate, and timely deliverables. The position is based in Tel-Aviv.

Role & Responsibilities

apply advanced machine learning algorithms to a variety of classification and optimization problems
Apply machine learning techniques to large-scale cyber datasets to train and improve algorithms model accuracy
Using Deep Learning algorithms to train our product model
Suggest new “feature extraction” methods based on data correlations and academic experience

דרישות התפקיד

Requirements

Proven experience in machine learning classification models and supervised learning
Python development skills - Must
Working knowledge in extracting statistical insights – Must
Previous experience in machine learning implementation in cybersecurity domain - Big Advantage
Experience with deep learning frameworks such as Theano, Torch, or TensorFlow - An advantage
Knowledge in clustering, unsupervised learning – an advantage
Spark experience – an advantage
B.Sc. in Computer Sciences / Mathematics

מלוות שאילות שיעזרו לכוון למומחים פוטנציאלים:

1. Have you ever used any kind of classification (not regression) machine learning algorithm? Have you ever used an SVM or random forest classification algorithm? 2
. Do you have any deep learning work experience? If not do you have any deep learning academic experience? From a degree or from online course like Coursera? 4. Have you ever improved the accuracy of an existing machine learning model, in a method different from increasing the training set size? 5. Have you ever featured-engineered raw input data to a machine-learning algorithm?