Facebook Quantitative Researcher, R&D in Menlo Park, California
Facebook's mission is to give people the power to share, and make the world more open and connected. Through our growing family of apps and services, we're building a different kind of company that helps billions of people around the world connect and share what matters most to them. 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 make the world more open and accessible. Connecting the world takes every one of us—and we're just getting started.
The Marketing Science R&D team is responsible for designing and prototyping highly-scalable solutions, and to ensure successful prototypes are expanded such that all advertisers can improve the measurement and ads delivery of their marketing efforts. In service of this goal, the team identifies and executes novel solutions, develops methodologies, and partners with our product and engineering teams.
Facebook seeks an innovator to recognize new opportunities and help build highly-scalable, scientifically rigorous measurement and ads delivery systems. These efforts are instrumental for shifting the industry and marketers to evaluate their initiatives based on true business value, and to shape Facebook’s ads product strategy with insights gained from these new platforms.
This position is full-time and based in Menlo Park, California.
Identify specific opportunities to leverage new data sources or systems to improve ads delivery or measurement for marketers.
Assess the validity and rigor of new data sources and approaches, establishing scalable frameworks for ongoing evaluation as appropriate.
Build cross functional relationships with Product, Analytics and Engineering to shape long-term product roadmaps with a balance of technical rigor and strategic considerations.
Master’s or PhD in a quantitative field such as Computer Science, Engineering, Statistics, Economics or Political Methodology
2+ years of hands-on research experience with empirical problems in the social or biomedical sciences, or in the Internet industry
Experience using machine learning or non-parametric modeling techniques with large (GB/TB) datasets
Experience with causal inference, including leveraging observational data and addressing challenges from missing data
- Prior experience with ads product development and established track record of innovation
Equal Opportunity: As part of our dedication to the diversity of our workforce, Facebook is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also 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 firstname.lastname@example.org or you may call us at 1+650-308-7837.