Facebook Data Scientist, Analytics - Messenger Growth 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.
At the heart of connecting people together is building a platform that fosters sharing between you and family, friends, and community. Messaging is key to this. The messaging market is competitive with a wide range of competitors at different stages of development including 1) Messaging services built on social platforms such as Messenger/FB, Snapchat, Instagram 2) Standalone messaging apps such as WhatsApp, WeChat and Line and 3) Android/iPhone native messaging solutions such as iMessage and Android Messages. This space is complex and growth in such a competitive space is challenging but also rewarding as we are able to connect the world through meaningful conversations. We need a data scientist who is capable of tackling all aspects of this problem. Your scope will include working with multiple product teams within Messenger as well as collaborating with different product teams across the company.
Use existing insights, and develop an understanding agenda to unearth new ones, to drive the product strategy
Own all communications of insights to upper management in support of strategic decision-making
Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
Plan, and be able to conduct as needed, end-to-end analyses, from data requirement gathering, to data processing and modeling
Own ongoing deliverables and communications
Work with data engineers to architect data and modeling pipelines
MS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, applied mathematics, physics, electrical engineering, industrial engineering) or equivalent experience
10+ years experience doing quantitative analysis or statistical modeling
Knowledge of at least one modeling framework (e.g., Scikit-Learn, TensorFlow, SAS, R, MATLAB)
Experience influencing product strategy through data-centric presentations (to product, business, and other stakeholders)
Knowledge in at least one of the following areas: predictive modeling, machine learning, experimentation methods
Experience extracting and manipulating large datasets
Development experience in any scripting language (PHP, Python, Perl, etc.)
Proven experience influencing cross-functional partners and work across teams
Experience in network effects, growth, customer analytics, messaging a plus two sided platforms and teasing out causal inference from endogenous systems
5+ years experience leading technical teams
Experience with distributed computing (Hive/Hadoop)
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.