Compensation: $160,000-$190,000 + Bonus
(Unlimited PTO, Daily Catered Lunches, Remote Work Options)
Do you enjoy solving challenging puzzles? Protecting critical networks from cyber-attacks? Our Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. We are is leading threat, risk analysis and data science initiatives that are helping to protect the firm and our clients from information and cyber security risks. Our team equips the firm with the knowledge and tools to measure risk, identify and mitigate threats and protect against unauthorized disclosure of confidential information for our clients, internal business functions, and our extended supply chain.
You will be responsible for:
Designing, developing, testing, and delivering complex analytics in a range of programming environments on large data sets
Applying statistical methodology, machine learning, and Big Data analytics for network modelling, anomaly detection, forensics, and risk management.
Creating innovative methodologies for extracting key parameters from big data coming from various sensors.
Utilize machine learning, statistical data analytics, and predictive analytics to help implement analytics tied to cyber security and hunting methodologies and applications
Applying latest technologies in machine learning, data mining, and predictive analytics to correlate the big datasets and events, and derive dynamic cybersecurity rules.
6+ years industry experience focused on Data Science
Hands-on experience in Cyber Security Analytics
Proven knowledge of industry leading scripting tools such as Python, Powershell, R and SQL
Ability to document and explain technical details in a concise and understandable manner.
Solid foundation in natural language processing and machine learning
Strong English verbal and written communication skills.
Bachelor of Science in Computer Science, System/Computer Engineering, Cyber-Security, or Information Security
Strong mathematical background (linear algebra, calculus, probability and statistics).
Experience with knowledge management best practices
Experience with cloud based big data platforms such as AWS or Google a plus