Applied Data Scientist

Job Description: We are seeking a highly skilled and motivated Applied Data Scientist to join our team. In this role, you will design, build, evaluate, and deploy ML, LLM, and agentic capabilities that improve real-world cybersecurity detection, investigation, and response workflows. You will work closely with data engineers, software engineers, security researchers, and threat analysts to turn complex security data and attack scenarios into reliable, scalable, and measurable AI-powered product capabilities.

This is a hands-on applied role focused on solving practical cybersecurity problems using data science, machine learning, LLMs, agents, and modern AI systems.

Apply machine learning, statistical analysis, LLMs, and agent-assisted techniques to solve practical cybersecurity problems across detection, triage, investigation, and response. Analyze large, complex security datasets to identify behavioral patterns, anomalies, attack signals, and trends that can improve threat detection and analyst workflows. Translate real-world cybersecurity use cases into data science problems, including problem framing, dataset creation, feature development, model selection, evaluation, and iteration.

Design, develop, and evaluate ML and LLM powered security workflows, including retrieval, reasoning, tool use, human-in-the-loop review, feedback loops, and guardrails. Build evaluation frameworks, metrics, benchmarks, and test datasets to measure model quality, reliability, pr