Facebook Research Scientist, Statistics (Core Data Science - PhD) in Denver, Colorado
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 seeking a Research Scientist to join the Core Data Science team. Individuals in this role are research scientists, but should also be comfortable acting as a software engineer and data analyst depending on team needs. Successful candidates must have a passion for collaborative, reproducible, and transparent research that deploys state-of-the-art statistical methods for private data disclosure. They will work closely with internal and external partners, including computational social scientists, to facilitate and conduct novel research as well as implement, design, and create datasets that ensure both privacy and utility.
Enable external research: construct requirements for the release of data for external research, create designs to facilitate privacy-aware research, and build privacy-preserving datasets
Quantify and understand risks from data disclosure and tradeoffs with dataset utility
Collaborate with Facebook software engineering teams to implement, test, and validate privacy-aware systems
Currently has, or is in the process of obtaining a PhD, in Statistics or related field
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Experience learning and applying state-of-the-art practices and methodologies for data disclosure including differential privacy and synthetic data generation
Experience analyzing and understanding structured but noisy datasets
End-to-end experience assembling, manipulating, and analyzing data (including data extraction, cleaning, visualization, presentation, etc.) in R and/or Python
Practical experience storing, processing, and releasing privacy-sensitive information
Familiarity with applied cryptography and secure computation techniques such as zero knowledge proofs, secure multi-party computing, homomorphic encryption, etc.
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. 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@example.com.
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