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UX Research Scientist
Ref No.: 19-06771
Location: Menlo Park, California
Tailored Management is seeking a UX Research Scientist to work onsite at our client's Menlo Park, CA campus on a contract basis. This is an excellent opportunity to join the world's largest social media network who enables over a billion users to openly connect with friends and family, share content, and explore the world.

Title: UX Research Scientist
Location: Menlo Park, CA
Duration: 6-month contract with the opportunity to extend!

Job Details:
  • To succeed, we need to measure and understand the impact our teams are having for the people and communities who use our apps and services. We're looking for people with strong quantitative research skills to help in this effort. The ideal candidate will be a social scientist with expertise in survey methodology (e.g., bias correction, sampling) and quantitative research methods or a quantitative specialist with experience solving survey methodology problems (especially for self-administered online surveys).
  • Help shape the research agenda and drive research projects from end-to-end.
  • Collaborate with product teams to define relevant questions about survey methodology and quantitative measurement.
  • Deploy appropriate quantitative methodologies to answer those questions.
  • Develop Client approaches where traditional methods won't do.
  • Provide teams with usable measurement strategies and methodologies to meet their product and business decision needs.
  • Deliver insights and recommendations clearly to relevant audiences.
  • Experience communicating analyses and results to any audience.
  • Knowledge in data manipulation and analysis software and programming languages (R/Stata, SQL/Hive).
  • Knowledge in quantitative and survey research methodologies (e.g., bias correction for surveys, survey sampling and design, regression modeling, causal inference with a survey outcome, shrinkage and regularization, designing and analyzing longitudinal panel surveys, behavioral data analysis).
  • Experience with large datasets.
  • Master's or Ph.D. in the social sciences (e.g., Economics, Political Science, Sociology, Psychology, Communication), or in a quantitative field (e.g., Statistics, Informatics, Econometrics) with experience answering social questions.