Careers at Facebook
Interns and Co-opsQuantitative Researcher - Advertising Effectiveness, Intern/Co-Op
Menlo Park, CAFacebook was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization.
The Facebook platform offers advertisers unprecedented opportunities to reach and engage consumers. The Marketing Science Research & Development team is responsible for understanding how to measure the impact of paid media on Facebook. In service of this goal, the team conducts research on the Facebook advertising platform, designs methodologies and data systems to improve the ability to measure value on and off of Facebook, and forms external partnerships with measurement companies, industry bodies, and other marketing platforms.
We are looking for a Quantitative Researcher intern to help develop new methodologies and conduct groundbreaking research that those capabilities enable. The research conducted by the Marketing Science team is instrumental in informing Facebook’s advertising product strategy, advertising strategies recommended to Facebook clients, and new measurement platforms used across the advertising industry.
We are looking for a Quantitative Researcher intern to help develop new methodologies and conduct groundbreaking research that those capabilities enable. The research conducted by the Marketing Science team is instrumental in informing Facebook’s advertising product strategy, advertising strategies recommended to Facebook clients, and new measurement platforms used across the advertising industry.
Responsibilities
- Develop and improve methods for measuring the causal impact of Facebook advertising
- Establish measurement approaches to assess relative performance of advertising strategies within Facebook and across marketing channels
- Assess potential opportunities and execute world-class research
Requirements
- Pursuing an advanced degree (Ph.D. preferred but not required) in economics, political science, sociology, statistics or a related quantitative field
- Strong background in applied statistics and causal inference
- Research experience with large data sets and experiments
