- Analysis Skills
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.
Messenger is one of the fastest growing apps in the world—over 1.3 billion people use it every month. Messenger offers a rich and expressive way to instantly connect with people. Whether sending a text, or sharing photos and videos, making a free call or video chat, Messenger makes it easy to communicate. Messenger is also redefining messaging apps with a hugely popular platform that allows businesses to effectively communicate with their customers. As a team, we combine the best parts of a fast-moving startup while operating at global scale. We're looking for a results-driven, strategic thinker and experienced Data Scientist to join our team and work closely with Product, Engineering & Design to develop and grow Messenger's ad products and business solutions. Ideally, you will have experience leading data science/analytics in messaging, monetization, ads or marketplace domains. You must thrive as a leader of cross-functional teams, exhibit excellent analytical and communication skills, and have a strong bias for action. If you are passionate about solving business problems and thrive in a fast-paced environment, we'd be thrilled to meet you! This is a full-time position based at our headquarters in Menlo Park, CA.
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
Partner with Product and Engineering teams to solve problems and identify trends and opportunities
Inform, influence, support, and execute our product decisions and product launches
4+ years’ experience doing quantitative analysis within a large-scale company or fast-paced environment
BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field
Experience in SQL or other programming languages
Development experience in any scripting language (PHP, Python, Perl, etc.)
Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product
Knowledge of statistics (e.g. hypothesis testing, regressions)
Experience manipulating data sets through statistical software (ex. R, SAS) or other methods
Advanced degrees in stats, computing, ML and related fields.
2+ years of experience in Data Science/Analytics function in Ads, Monetization, Messaging or Marketplace domain.
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