Threat Intelligence Researcher

Deep Instinct the first cyber security company to apply Deep Learning to cyber security is looking for a Threat Intelligence Researcher for its data science group. Deep instinct is an innovative startup that has a unique and gamechanging software solution to protect Fortune 500 EndPoint applications and storage clents against Zero Day & APT cyberattacks. This is an incredible opportunity to get in early at a PreIPO Cyber Security company that is poised to do huge things! Were on a mission to disrupt the cyber security market and the time is NOW!

Your Impact

In this role you will be responsible for model life cycle from dataset creation to model testing and choosing. You will identify analyze and collect malware samples generate datasets that lay the foundation for our deep learning models.

The role involves handson responsibilities working closely with research development and product teams. It requires multitasking in a fastpaced environment with highquality accurate and timely deliverables

Build and engineer massscale datasets used for training deep learning models based on a solid understanding of the threat landscape.

Identify collect and analyse malware from a wide range of sources ranging from customer environments to threat intelligence feeds and automated analysis tools

Analyze large scales of malware datasets based on OSINT

Working sidebyside with deep learning engineers as a cyber security domain expert on research projects.

Conduct indepth multidisciplinary cyberData Science research.

At Deep Instinct we are committed to creating an excellent employee experience. We offer competitive salaries a generous benefits package among great culture. We have some of the most forwardthinking and hardworking people in the world working for us. If youre creative and autonomous with a real passion for technology we want to hear from you.

Requirements :

BSc in Computer Science Software Engineer or any other equivalent bachelor s degree.

Proficient hands on python coding skills.

Familiarity with Unix environments.

Experience in SQL and relational databases

Experience in working with large datasets in a distributed computing environment such as Pandas or PySpark .

Familiarity and understanding of hacking techniques novel malware families and campaigns common attack vectors (Windows Must MacOS/Android Advantage)

Experience with collecting analysing and interpreting data from multiple sources.

Zest for efficiency process automation and data logics.

Methodological approach and critical thinking.

Team player with passion for technology autodidact independent innovative and able to multitask

Remote Work :

Yes

Employment Type :

Fulltime