Quantitative Researcher - Facebook

Quantitative Researcher


The Marketing Science Ads Research team is a research and analytics group focused on measuring the value and effectiveness of advertising on Facebook. In service of this goal, the team conducts research on the Facebook advertising platform, designs custom research to improve the ability to measure value on and off of Facebook, and helps advertisers and agencies align with improving the quality of their planning, creative, and measurement. This team is tasked with executing research, building internal tools, and prototyping measurement methodologies. Research will focus on leveraging large data sets and developing experiments to develop an empirically supported point of view on advertising effectiveness.

We seek an expert in experimental design, statistical analysis, developing machine learned models and developing working systems to support research. Expert knowledge of data access tools (such as SQL), scripting languages (e.g. Python, PHP) and a data analysis language (R, Python) will be needed for this role. The ideal candidate will be a subject matter expert in machine learning and data engineering, is scrappy, focused on results, self-motivated and has a history of solving problems with data solutions.

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 data science, research methods and statistics. This position is full-time and based in New York, NY, San Francisco, CA or Menlo Park, CA.


  • 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 audience insights

  • 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


  • 2+ years of work experience in a quantitative field, such as consulting, market research

  • Degree in Economics, Statistics, Computer Science, Machine Learning, Applied Mathematics, Operations Research, Engineering, or similar quantitative field

  • Experience interacting with a full development suite of tools (SQL, PHP/Python, Git, etc.)

  • Experience in a data analysis language such as Python (w/ pandas, scikit-learn, etc.)

  • Experience in building end-to-end data tools or machine learning solutions to analytical problems

  • Experience in communicating analyses and results to any audience

  • Knowledge of research design and applied statistics including sampling approaches, experiments, causal modeling, and data mining techniques

  • Knowledge and applied experience and experience with designing analytical models and mine large datasets

  • Programming skills, suitable for developing scalable research prototypes within a Hive and Linux environment


  • Experience in applied research with focus areas such as media consumption, consumer behavior or marketing effectiveness

  • Advanced Degree in Economics, Statistics, Computer Science, Machine Learning, Applied Mathematics, Operations Research, Engineering, or similar quantitative field

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.

Facebook is 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 accommodations-ext@fb.com.

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