Position Details
About this role
This role involves designing and deploying machine learning systems to detect cyber threats across large datasets, working closely with security teams to operationalize models and improve threat hunting.
Key Responsibilities
- Design ML models
- Build data pipelines
- Collaborate with security teams
- Work with petabyte-scale datasets
- Operationalize threat detection
Technical Overview
Environment includes Python programming, large-scale data platforms like Spark and Hadoop, and cybersecurity threat detection tools, focusing on machine learning and data pipelines.
Ideal Candidate
The ideal candidate is a mid-level data scientist or data engineer with experience in machine learning pipelines, large-scale distributed data systems, and cybersecurity applications. They should possess strong programming skills in Python and be eager to work with threat detection and network telemetry data.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with large-scale data systems, No Python or ML pipeline experience, No cybersecurity or threat detection background
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