Sr. Security Researcher - Data Ops (Remote)

Candidates must have at least 4 years of professional experience in cyber threat intelligence, open source intelligence, or information security. Proficiency in a programming language like Python for data extraction, web scraping, and database interaction is required, along with experience in designing and leading data-driven investigations and visualizing results. Demonstrated experience with machine learning, generative AI, and LLMs for workflow automation and dataset understanding is necessary. Candidates must also have experience designing, implementing, and interacting with APIs, building and deploying tools with Docker and Git, and navigating large unstructured datasets. A strong understanding of adversary tools, tactics, and operational security (OPSEC) principles is essential, as is the ability to work remotely in a collaborative, cross-time zone team environment. Preferred qualifications include expertise in additional languages and prior intelligence community or cyber threat intelligence background.