Are you interested in solving complex problems that are geared towards improving the privacy of people using Meta's family of apps? Do you have an adversarial mindset and are excited about investigating and analyzing potential threats? Come join us! The Anti-Scraping team is looking for someone who loves reimagining what's possible when it comes to detecting, researching, and disrupting attackers by investigating entities and analyzing data to uncover patterns of automated abuse. The team provides actionable insights upstream and works with our engineering teams to constantly implement solutions at scale through better automation strategies to make the internet a safer place for all. Successful candidates for this team have a bias toward action and enjoy finding patterns amid chaos, making quick decisions, and aren't afraid of being wrong. The ideal candidate will have a background in a quantitative field as well as IT security, bot detection/mitigation, scraping etc. The candidate will have experience working with large data sets and will have in-depth experience in data-driven decision making. You are scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to reduce abuse and negative user experiences across the platform.