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Facebook Research Scientist Manager, Statistics & Privacy - Cryptography & Internet in Helena, Montana


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.


Our Statistics and Privacy team focuses on establishing step-change improvements to advance Facebook’s 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 across Facebook to launch these solutions such that 3 billion people, 200 million businesses, and 10 million advertisers can benefit. Examples include experimentation platforms, ranking and recommender systems, and privacy-enhancing technologies.Facebook seeks an industry-experienced Research Science leader to join Statistics & Privacy. This managerial role is designed specifically for a Research Science leader to remain hands-on for technical and scientific development, while also directly supporting a team of research scientists, and leading on a small set of org-level capacity-building responsibilities. Cutting-edge applied research 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 leveraging privacy-enhancing technologies such as multi-party computation, homomorphic encryption, federated analytics, and differential privacy to develop privacy-focused advertising solutions (private record-linkage, fraud prevention, experimentation platforms, and collaborative inference) — all while maintaining performance at massive scale.

Required Skills:

  1. Hire and lead highly skilled research scientists, providing mentorship and career guidance to members of the team

  2. Create structures, systems and organizations that allow research scientists to be most effective

  3. Identify specific, high-impact opportunities to build new and improve existing advertising and commerce solutions based on privacy-enhancing technologies

  4. Design and prototype new algorithms, cryptographic protocols, optimization methods, and system architectures with hands-on implementation and development

  5. Foster innovation and prioritize across opportunities to build and improve ads and commerce systems

  6. Shepherd the team’s research and development projects, ensuring high-quality communication across diverse leadership audiences, and identifying intermediate milestones while taking responsibility for the team’s long-term impact

  7. Build cross-functional relationships to shape long-term roadmaps with a balance of scientific rigor and strategic considerations

  8. Manage the development of presentations, patent applications, white papers and publications of research results in top-tier journals and at leading conferences, in a manner that is broadly appealing and accessible beyond a core scientific audience

Minimum Qualifications:

  1. PhD in computer science, electrical engineering, statistics, mathematics, or a related field and 6+ years of relevant experience

  2. Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets

  3. Proficiency in C-family (e.g., C++, Rust, Go), Python, or similar language

  4. Experience communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training

  5. Expertise with at least one of the following: Secure Multi-Party Computation techniques, Differential Privacy, Federated Learning or Federated Analytics, Homomorphic Encryption, Trusted Execution Environments

  6. Proven track record of innovation

Preferred Qualifications:

  1. 4+ years of experience in leading and developing scientific teams, including performance management and recruiting

  2. Lead author of publications at top-tier peer-reviewed journals or conferences

Industry: Internet

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