Senior Data Scientist, Enterprise Security Products

Overview

What happens when you combine startup speed with Amazon-scale impact? Amazon Enterprise Security Products is a newly launched group building intelligent, cloud-agnostic security tools What happens when you combine startup speed with Amazon-scale impact? Amazon Enterprise Security Products is a newly launched group building intelligent, cloud-agnostic security tools using AI-first development practices.

What you'll do

• What happens when you combine startup speed with Amazon-scale impact?
• Amazon Enterprise Security Products is a newly launched group building intelligent, cloud-agnostic security tools What happens when you combine startup speed with Amazon-scale impact?
• Amazon Enterprise Security Products is a newly launched group building intelligent, cloud-agnostic security tools using AI-first development practices.
• Here, you build AI and you build with AI at the same time.
• This role is a chance to define and lead the science strategy for the future of security tooling with a small, fast team that ships like a startup but deploys at Amazon scale.
• We're looking for a Senior Data Scientist who operates at the intersection of applied ML, agentic AI, and security; and who can set technical direction across ambiguous, undefined problem spaces.
• You won't just build models; you'll decide which problems are worth solving, architect the scientific approach for an entire product area, and raise the bar for how the team applies science.
• You'll partner with senior and principal engineers, applied scientists, security researchers, and PMs, and your judgment will shape roadmaps, not just deliverables.
• This is a role for someone who thrives in ambiguity, influences without authority, and turns "too ambitious" into shipped reality.
• Key job responsibilities - Set the science direction for a product area: Define the modeling strategy, scientific approach, and success metrics for entire categories of AI-first security capabilities, agentic systems, anomaly detection, threat classification, and automated response across multi-cloud environments.

Requirements

• Practical experience with Go, Rust, AWS, LLM.
• Relevant academic or project background for a Senior Data Scientist, Enterprise Security Products role.
• Strong written and verbal communication in English.
• Comfortable working on-site in Austin, Texas, USA.

Skills