Senior Security Research Engineer - Data Science
Role details
Job location
Tech stack
Job description
-
Contribute to developing ML solutions for Endpoint Security.
-
Perform data analysis on our sources to identify new solutions and improvements.
-
Collaborate within the Security ML team and with members of other teams to build, ship, and maintain ML models.
-
Promote long-term vision for monitoring performance of deployed models to identify concept drift and determine retraining cadence.
-
Determine how to improve models over time by leveraging implicit and explicit feedback
Requirements
If you are passionate about security research as well as data science and would enjoy the challenge of mixing your security expertise with your analytics driven from data science, we would love to have you join our growing team, * Experience building Security solutions (Endpoint, Network, UEBA, etc.).
-
Experience with threat hunting and malware analysis.
-
Proficiency in Python programming skills.
-
Experience with writing and running tests (unit tests, integration tests, regression tests).
-
Experience with performing data analysis as required to support data quality decisions.
-
Ability to both give and receive helpful code reviews.
-
Be comfortable working in a fully-remote environment.
-
Be able to communicate clearly to diverse groups of stakeholders coming from different disciplines, time zones, and programming language preferences.
-
Willingness to learn new things and ask for help
BONUS
-
Experience designing, training, and evaluating models using popular ML frameworks.
-
Experience with AWS or GCP.
-
Experience with Kubernetes.
-
Experience with Buildkite or other CICD tooling