Core Data Science Intern, Computational Social Science (PhD)

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 looking for researcher Interns to join the Computational Social Science group within the Core Data Science team. Computational Social Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation to improve existing products and inform and enable the development of new ones. The team works closely with various product groups throughout Facebook, bringing expertise in algorithms, modeling, machine learning, exploratory data analysis, and social network analysis. We help these teams better understand how people use their products, and we solve hard problems that will enable these products to better serve their users.

• Work with large amounts of data in service of concrete conclusions and actionable insights
• Communicate complicated technical topics and nuanced insights to diverse audiences
• Learn new tools and languages quickly as required by the particular project you are working on, with tasks ranging from data processing to production engineering to modeling and machine learning
• Work both independently and collaboratively with other scientists, engineers, designers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value to Facebook's community of over 1.7 billion users

• Think creatively, proactively, and futuristically to identify new opportunities within Facebook's long-term roadmap for data-scientific contributions

• Experience solving analytical problems using quantitative approaches
• Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• A strong passion for empirical research and for answering hard questions with data
• A flexible analytic approach that allows for results at varying levels of precision
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
• Fluency with at least one scripting language such as Python or PHP
• Familiarity with relational databases and SQL
• Expert knowledge of an analysis tool such as R, Matlab, or SAS
• Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
• Must be currently enrolled in a full-time degree program and returning to the program after the completion of the internship/co-op

• Currently has, or is in the process of obtaining a PhD, in computer science, statistics, economics, sociology or related field

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.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected]