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, machine learning, cryptography and neuroscience.
We develop methodologies, design and prototype solutions, and partner with our engineering colleagues to launch these solutions such that millions of 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. We seek a Research Scientists - both new PhD graduates and industry-experience leaders - to identify new opportunities and build scientifically rigorous systems that enable marketers to improve the efficiency of their advertising spend.
Our team works across areas ranging from internal and external experimentation systems to our ads delivery optimization. We also invest towards privacy-preserving technologies for measurement and optimization that enhance technological guarantees for consumer privacy. In additional to leveraging scientific expertise to develop new products, team members are expected to build consensus across product, engineering and business stakeholders as to the strategic merit of our initiatives.
RESEARCH SCIENTIST- STATISTICS AND PRIVACY (R&D) RESPONSIBILITIES
Design and prototype new algorithms, optimization methods, and system architectures
Assess the validity and rigor of new approaches, establishing scalable validation frameworks for ongoing evaluation
Build cross-functional relationships with AI, Engineering, Product and Analytics teams 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
Expertise in one of the following areas: causal inference and experimentation platforms, privacy preserving machine learning, applied cryptography and privacy enhancing technologies, or modern machine learning techniques and their mathematical underpinning
Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets
Proficiency in common scripting and query languages
Experience with communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training
Experience to track record of innovation
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.
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