Cylus, the global leader in rail cybersecurity, helps mainline and urban railway companies prevent security incidents and service disruptions caused by cyber-attacks. With about $60M in funding by top VCs and strategic investors, global customers and strong partnerships with the biggest railway integrators, we make a significant impact on the multi-billion global railway industry.
We are looking for an exceptional Senior Data Scientist to join our research team and help us get to the next level. If you have the right attitude and skills, we invite you to hop on board this bullet train.
In this role, you will:
Be the driving force in conducting deep, pioneer security research of rail networks to fuel the company’s core product
Create models for extracting security and visibility insights from network communication in the railway domain.
Be a crucial part of a vibrant R&D team of experienced engineers and security experts
Requirements:
4+ years of proven experience as a data scientist.
Strong statistics and programming skills (preferably in Python)
Familiarity with the various machine learning algorithms like clustering, categorization, and classification.
Proven track record of delivering insightful models to production
Familiarity with network oriented data (from layers 2-7)
Bachelor degree in computer science, mathematics or equivalent practical experience
