Research Science Manager, Statistics & Privacy

Facebook ,
London, Greater London
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Job Description

**Intro:** 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. **Summary:** 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. This managerial role encompasses leading and supporting a high-performing research science team focused on statistics and privacy, as well as broader org responsibilities. This will entail building scientifically rigorous systems focused on optimizing for causal advertising outcomes, while also adopting new model training approaches that facilitate technological guarantees of consumer privacy. **Required Skills:** 1. Hire and lead highly skilled research scientists, providing mentorship and career guidance to members of the team 2. Foster innovation and prioritize across specific opportunities to build new and improve existing causal inference systems for ads delivery optimization 3. Shepherd the team's research and development projects, ensuring high-quality communication across diverse audiences, and taking responsibility for the team's long-term product impact 4. Build cross-functional relationships with Engineering, Product and Analytics teams to shape long-term roadmaps with a balance of scientific rigor and strategic considerations 5. Manage the development of conference presentations, patent applications, white papers and publications that are broadly appealing and accessible beyond a core scientific audience **Minimum Qualifications:** 6. PhD in a quantitative field such as statistics, physics, economics or political science and 3+ years of relevant experience in data science or research science, or MS degree with 7+ years of relevant experience in data science or research science 7. 2+ years of product development experience 8. 2+ years of experience in leading and developing scientific teams, including performance management and recruiting 9. Strong command of R, Python or Julia leveraging large (TB) datasets 10. Expertise in causal inference and experimentation, including addressing challenges from incomplete, unrepresentative, mislabeled and observational data 11. Proven track record of innovation and strategic focus **Preferred Qualifications:** 12. Understanding of privacy-related technologies and frameworks such as multi-party computation, differential privacy, federated learning, and homomorphic encryption 13. Experience with probabilistic programming languages such as Stan 14. Proficiency with modern machine learning techniques and understanding of their mathematical underpinning **Industry:** Internet

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