Facebook Research Scientist Manager, Ads & Commerce in Pierre, South Dakota
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 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.This managerial role encompasses leading and supporting three high-performing research scientist teams focused on innovation that drives value for advertisers and Facebook, as well as broader organizational responsibilities. This will entail building scientifically rigorous systems with novel approaches across areas of ranking and experimentation with a focus on advertising and commerce.
Hire and lead highly skilled research scientists and research scientist managers, providing mentorship and career guidance to members of the team
Foster innovation and prioritize across opportunities to build and improve ads delivery based on deep learning (retrieval, ranking, recommender systems), experimentation and inference systems
Shepherd the team’s research and development projects, ensuring high-quality communication across diverse leadership audiences, and taking responsibility for the team’s long-term impact
Build cross-functional relationships to shape long-term roadmaps with a balance of scientific rigor and strategic considerations
Manage the development of conference presentations, patent applications, white papers and publications that are broadly appealing and accessible beyond a core scientific audience
PhD in a quantitative field such as statistics, physics, computer science or political methodology and 6+ years of relevant experience in data science or research science, or MS degree with 10+ years of relevant experience in data science or research science
4+ years of experience in leading and developing scientific teams, including performance management and recruiting
Expertise in causal inference, Bayesian inference or deep learning, including addressing challenges from incomplete, unrepresentative, mislabeled and observational data
Proven track record of product or systems innovation, and strategic focus
- 2+ years of experience managing managers
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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