Spam Analyst

Spam Analyst

(Menlo Park, CA)
Facebook was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization.
Passionate about diving into the world of big data and trends analyses? Interested in solving complex problems that are geared towards improving Facebook and its community’s experiences? Excited about learning how to scale and automate processes? Come join Site Integrity at Facebook! The Site Integrity team protects users by preventing abuse as a result of spam. We are building an analytics-driven team that thinks upstream to constantly implement solutions at scale through better automation strategies. Our focus on data analysis, machine learning and a robust infrastructure of back-end systems allows us to work effectively with our engineering, operations and product teams to build proprietary tools and techniques to enforce the quality of content at scale. 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 perfect candidate will have a background in a quantitative or technical field, 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. This position is located in our Menlo Park office.


  • Apply your expertise in quantitative business analysis, data mining, and the presentation of data to identify trends and opportunities in driving down spam and other nefarious behavior
  • Analyze and interpret data in order to devise hypotheses on how spam and other nefarious activity is proliferating
  • Implement effective countermeasures to eliminate spam based on these identified patterns
  • Requires contributing to Facebook core code
  • Be a thought leader for data-informed initiatives and guide the team’s direction overall
  • Partner with Data Science, Product, Engineering and Operations teams to solve problems at scale

Minimum Qualification

  • 4+ years experience doing quantitative analysis
  • BA/BS in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field. Advanced degrees preferred
  • Experience with large data sets and familiarity with SQL
  • Development experience in at least one scripting language (PHP, Python, Perl) required
  • Experience in Haskell would be ideal
  • Experience in adversarial space like fraud and spam highly preferred
  • Ability to break large, complex problems down into smaller pieces and distill that complexity into simple and concise communication
  • Strong communication skills, creative problem-solving and curiosity is a must
  • Highly motivated and hard-working with ability to think clearly under pressure, both individually and in team environment

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