Data Services Specialist–Princeton University–Princeton, NJ

Princeton University Library
Scholarly Collections and Research Services
D-19-LIB-00008

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 https://dss.princeton.edu/

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

The Princeton University Library is one of the world’s leading research libraries. It employs a dedicated and knowledgeable staff of more than 300 professional and support staff working in a large central library, 9 specialized branches, and 3 storage facilities. The Library supports a diverse community of 5,200 undergraduates, 2,800 graduate students, 1,200 faculty members, and many visiting scholars. Holdings include more than 10 million printed volumes, 5 million manuscripts, 2 million non-print items, and extensive collections of digital text, data, and images. More information: http://library.princeton.edu/
Qualifications

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

The successful candidate will be appointed to an appropriate rank depending upon qualifications and experience. Applications will be accepted only from the Jobs at Princeton website: http://dof.princeton.edu/academicjobs and must include a resume, cover letter, and a list of three references with full contact information. This position is subject to the University’s background check policy.

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Direct Link to Posting:https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=11121

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