Data Services Specialist

Posted to IASSIST on: 2019-04-01

Employer: Princeton University

Employer URL:


Data Services Specialists play a critical role in academic research and instruction at Princeton University. We are looking for a Data Services Specialist to help our world class researchers. Princeton juniors and seniors are required to conduct substantive independent research including a senior thesis. While faculty and graduate research is a substantial part of our service, undergraduate assistance forms the bulk. The DSS provides direct assistance in a lab environment. For more detail on Data and Statistical Services, see The successful candidate will:

  • exhibit excellent interpersonal skills when working with a diverse group of highly motivated researchers in an inclusive and welcoming environment
  • help shape quantitative and qualitative research through innovative methods and approaches
  • provide statistical and software consulting services for undergraduates, graduate students and faculty engaged in quantitative data analysis in a variety of academic disciplines, particularly economics, finance, politics, public policy, and sociology
  • assist in the choice, application, and interpretation of quantitative research methods, and with the use of statistical software needed to implement these methods
  • engage in individual consultation and group instruction
  • continuously learn new methods, software, and approaches, indicating a growth mindset
  • maintain efficient operation of the Data and Statistical Services (DSS) Lab and digital data archive
  • retrieve/manipulate complex data from a variety of sources; transfer data between platforms for use in multiple computing environments
  • create documentation and maintain web presence
  • evaluate and design web-based access tools and end user systems
  • process data and create metadata for files in the data archive

Required: Master’s degree and intermediate to expert experience with STATA and R. Strong research methods background with focus on quantitative data analysis and computing.Preferred: Advanced degree in a quantitative social science such as economics, political science, or sociology or equivalent experience. Demonstrated ability and experience functioning successfully in a fast-paced environment with a strong service orientation. Experience using complex machine-readable data; programming ability. Expert level Stata and R. Experience with qualitative data software. Strong econometrics background or familiarity with social sciences, economic and/or financial data. Expertise with other statistical packages, particularly SAS, SPSS, and MATLAB.

Archived on: 2020-01-02