Facebook Data Analyst, Spam Operations in Menlo Park, California
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.
Community Operations' focus is on supporting our users through both direct support interactions as well as scalable solutions, and on improving the health of our products by helping people understand how to use them. Those who join our teams are very passionate about solving people’s issues, and are strong advocates for the Facebook community. We need influencers who can align cross-functional partners to ensure the best possible experience for our platforms. If you like helping people, Community Operations is for you.
Facebook is seeking a solutions-oriented, data-savvy self-starter with a passion for helping others, protecting our community and being the voice of our users. This individual will sit within the Global Spam Operations team, and work to improve the overall user experience by delivering qualitative and quantitative insight into user behavior. By providing support to individuals in need, the Data Analyst will identify areas for process improvement, help us intelligently scale our operations by optimizing and automating processes and solve challenging problems and help to prevent them.
This position is full-time and based in our Menlo Park, CA office.
Develop a deep understanding of spam and how it affects Facebook, Instagram and our communities
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
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
2+ years of work experience with quantitative analysis
Experience with large data sets and SQL
BA/BS in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field
Experience in an adversarial space like fraud and spam
Development experience in Haskell
Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. If you need assistance or an accommodation due to a disability, you may contact us at email@example.com or you may call us at +1 650-308-7837.