Quantitative Researcher, Marketing Science Research

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 â€" we're just getting started.

The Advertising Research team is a research and analytics group focused on measuring the value and effectiveness of advertising on Facebook. Often working with advertisers, agencies, and 3rd party developers (“Marketing Partners”), the team develops hypotheses and investigates, designs and executes measurement studies towards those hypotheses. The results can often be published to help the advertising industry to improve the effectiveness of their advertising and influence the Facebook ad product roadmap. We seek an expert in research methods and inferential statistics to identify, design and execute research projects that provide answers to questions focused on advertising effectiveness. This research is instrumental in informing Facebook’s advertising product strategy, advertising strategies recommended to Facebook clients, and new measurement platforms used across the advertising industry. The ideal candidate will have a strong background in research methods, statistics and data science. This position is full-time and based in Menlo Park, CA or New York, NY.

RESPONSIBILITIES

  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to measure and communicate the effectiveness of online advertising
  • Assess the validity and rigor of new data sources and approaches in their use toward applied research
  • Proactive creation of custom advertising research driven to show value, insights, or missed opportunities
  • Oversee data-focused initiatives already in place and being developed, and drive developments in the quality of these initiatives
  • Partner closely with advertisers, agencies and other internal teams for joint project collaboration
  • Package these insights effectively for both internal and external audiences
MINIMUM QUALIFICATIONS
  • 2+ years in a quantitative field, such as consulting, market research, or advanced Degree in Economics, Statistics, Computer Science, Machine Learning, Applied Mathematics, Operations Research, Engineering, or similar quantitative field
  • Experience in applied research
  • Knowledge of applied statistics including sampling approaches, experiments, causal modeling, and data mining techniques
  • Experience building analytical models and working with data sets
  • Knowledge in SQL-like query languages and statistical analysis (R or Python)
  • Experience communicating analysis and results to any audience
PREFERRED QUALIFICATIONS
  • PhD in Stats, Political Science, Economics or similar quantitative field
  • Experience in working with advertising technology platforms
  • Experience in applied research with focus areas such as media consumption, consumer behavior or marketing effectiveness


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