Facebook is seeking a Visiting Scientist to join Core Data Science (CDS). CDS is a research and development team, working to improve Facebook’s products, infrastructure, and processes. They generate real-world impact through a combination of scientific rigor and methodological innovation. They are an interdisciplinary team, with expertise in computer science, statistics, machine learning, economics, political science, operations research, and computational social science, among many other fields. This diversity of perspectives enriches their research and expands the scope and scale of projects they can address. The ideal candidate will have a keen interest in producing new research in scientific domains that interact with Facebook’s mission and products. They will collaborate with the CDS team and others across the company to produce high-quality research which will have short or long term influence on their work. As part of interviewing for this role, they expect to discuss specific research ideas. They will develop those into a specific proposal together with any team members interested in collaborating. List of current interests includes but is not limited to:* Models of complex social processes, network science.* Survey methodology and causal inference, particularly in conjunction with Big Data.* Applications of Machine Learning in statistical problems (such as prevalence measurement or quantification).* Coordination of strategic agents and incentives analysis through algorithmic game theory tools.* Algorithmic fairness, accountability, and transparency. This position will be full time and fixed term. Term length would be considered on a case by case basis. They are inviting applications from faculty considering sabbaticals as well as post-doctoral researchers.
- Drive & collaborate on research advancing the state of the art in areas that are of mutual interest.
- Contribute research that can be applied to Facebook product development.
- Influence the progress of the relevant research communities by producing publications.
- Collaborate on existing CDS projects as a contributing team member.
- Ph.D. degree in computer science, statistics, machine learning, economics, political science, operations research, computational social science, or related fields.
- Experience doing empirical research using data analysis tools such as R or Python, with packages such as NumPy, SciPy, pandas, scikit-learn, tidyverse, etc.
- Track record of publications in the area of expertise.
- Ability to initiate, drive, and collaborate on research projects all the way to completion with minimal guidance.
- The ability to communicate scientific work in a clear manner.
- Experience in lower-level languages such as C++, Java.
- Experience in scalable dataset assembly/data wrangling, such as Presto, Hive or Spark