Our Statistics and Privacy team focuses on establishing step-change improvements to advance our long-term business growth. The team's expertise spans many domains including statistics, economics, machine learning and cryptography. We develop methodologies, design and prototype solutions, and partner with our engineering colleagues to launch these solutions such that over ten million advertisers can benefit. Examples include internal and external experimentation platforms, ads delivery optimization for efficient causal outcomes, and the application of privacy enhancing technologies across our ads product stack.
Facebook seeks industry-experienced research scientists to join Statistics & Privacy and serve as scientific leaders for cutting-edge applied research. Such work necessitates identification and evaluation of new research opportunities, and development of scientifically rigorous systems. Research scientists drive forward prototypes and methodologies, and build consensus with engineering stakeholders as to the scientific and strategic merit of our initiatives. This role will focus on ranking and experimentation systems that power our advertising and commerce capabilities. Research Scientist — Statistics and Privacy Responsibilities Identify specific, high-impact opportunities to build new and improve existing advertising and commerce solutions Design and prototype new algorithms, optimization methods, and system architectures with a focus on deep learning (retrieval, ranking, recommender systems), experimentation and inference systems Build cross-functional relationships to shape long-term roadmaps with a balance of scientific rigor and strategic considerations Learn new tools, systems and languages quickly as required by the particular project you are working on Develop patent applications, white papers, conference presentations, and publications that are broadly appealing and accessible beyond a core scientific audience Minimum Qualifications PhD and publications in a quantitative field such as statistics, physics, or computer science Solid experience of post-PhD work in data science or research science Expertise in statistics (particularly causal inference and Bayesian inference) or deep learning (particularly ranking, retrieval and recommendations), including addressing challenges from incomplete, unrepresentative, and mislabeled data Track record of product or systems innovation, and strategic focus Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets Expertise in Python, Julia, or R Proficiency in communicating analyses and establishing confidence among audiences who do not share your disciplinary background or training Locations About the Facebook company 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 committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected]