Marketing Science R&D is an interdisciplinary team of data scientists focused on research that improves measurement and ads delivery on our platform. The team's expertise spans domains, including causal inference, survey methodology, machine learning, cryptology, location and identity prediction algorithms. We develop methodologies, design and prototype solutions, and partner with our engineering and product colleagues to scale these solutions such that millions of advertisers can benefit.
We're looking for researchers and data scientists with expertise in survey methods and computational social science that can develop new methodologies and frameworks to build robust inferences from survey data we can receive from billions of people across our platforms. Team members will pursue deep technical knowledge of our ads, measurement and survey infra systems at Facebook, and develop robust and creative frameworks to leverage anonymized response data to power new and enhance existing measurement and ads delivery systems.
* Research opportunities to develop and implement new methods or algorithms for survey collection and inference to improve ads delivery and measurement for advertisers
Assess the validity and rigor of new data sources and approaches, establishing scalable validation frameworks for ongoing evaluation
Work both independently and build cross-functional relationships with Engineering, Product and Analytics to shape long-term product roadmaps with a balance of technical rigor and strategic considerations
Learn new tools, systems and languages quickly as required by the particular project you are working on
Apply communication skills to engage diverse audiences on technical topics and nuanced insights
* PhD in Economics, Political Science, Sociology, Communication, Psychology, or related field, or a Master's within one of these fields combined with 3+ years of hands-on research experience in the social or biomedical sciences, internet or advertising industry architecting and implementing survey methods-focused solutions
Experience with survey methodology, survey experiment design, and analysis of survey experiments
Knowledge in survey methodology-related patents, conference presentations, academic papers or other indicators of research experience in industry-grade survey methodology
Experience addressing challenges that emerge from missing or unrepresentative data
Knowledge with Python and/or R
Development experience for Bayesian modeling leveraging Stan or JAGS
* Experience with online advertising, targeting, optimization and measurement systems
Knowledge of machine learning and advanced statistical modeling
Experience with Presto, Hive or Spark SQL
Experience leveraging large-scale demographic, behavioral or social network data to derive valuable inferences
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