Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Data Scientist in the United States.
This role sits at the intersection of advanced data science, large-scale data engineering, and production system design, powering intelligent capabilities within a modern SaaS security platform. You will work on transforming massive, complex datasets into actionable insights, real-time analytics, and customer-facing product features. The position blends hands-on modeling, distributed data systems, and architectural leadership across the full data lifecycle. You will design and operate production-grade pipelines that support both batch and streaming use cases at scale. Working closely with Product and Engineering teams, you will help shape data-driven features that improve security visibility, detection, and decision-making. This is a highly cross-functional and technical role requiring versatility across data engineering, analytics, and applied machine learning. It is ideal for someone who thrives in building robust systems that operate reliably in production environments.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Data Scientist in the United States.
This role sits at the intersection of advanced data science, large-scale data engineering, and production system design, powering intelligent capabilities within a modern SaaS security platform. You will work on transforming massive, complex datasets into actionable insights, real-time analytics, and customer-facing product features. The position blends hands-on modeling, distributed data systems, and architectural leadership across the full data lifecycle. You will design and operate production-grade pipelines that support both batch and streaming use cases at scale. Working closely with Product and Engineering teams, you will help shape data-driven features that improve security visibility, detection, and decision-making. This is a highly cross-functional and technical role requiring versatility across data engineering, analytics, and applied machine learning. It is ideal for someone who thrives in building robust systems that operate reliably in production environments.
