Facebook Data Scientist, Analytics - Video Performance 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.
Facebook is the second largest online video platform in the world. Video at its heart is a social experience, as people talk about and talk through video. Users upload their own videos. They go Live and broadcast to their friends. Pages upload tens of millions of hours a day. The video team at Facebook is responsible for the entire video experience at FB, from the uploading, to the watching to the interactions around the video.
This role is focused on better understanding video performance and how it affects user experience, retention, and engagement. Video is the most resource-intensive content type, and any flaw in performance has a deleterious effect on user experience. The person in this role will need to understand performance, user experience, and the systems that we have built to upload, encode, serve, and play videos to identify opportunities to improve them. Potential opportunities for impact include making an acceptable video experience available to many (hundreds of millions) more users around the world, especially in emerging markets, and making sure new product experiences have acceptable performance at launch to enable rapid adoption.
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
Experience and knowledge of at least one modeling framework (e.g., SciKit Learn, TensorFlow, SAS, R, MATLAB)
Experience extracting and manipulating large datasets
Development experience in any scripting language (PHP, Python, Perl, etc.)
Proven experience influencing product strategy through data-centric presentations (to product, business, and other stakeholders)
Knowledge of classification techniques, from data generation, to their use in learning systems
Experience with online video delivery systems
5+ years of 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.