Data Services Specialist
Princeton University Library
Requisition # D-22-LIB-00005
Princeton University Library seeks a dynamic service-oriented
library professional to serve as a Data Services Specialist in the
Data and Statistical Services (DSS) unit at Firestone Library. DSS
specialists play a critical role in helping world class academic
researchers by providing instruction and support to juniors and
seniors for independent research, as well as to faculty members and
graduate students. Learn more about us at http://library.princeton.edu
The successful candidate will:
- Provide direct support with statistical methods and software to
a diverse community of highly motivated researchers -
undergraduates, graduate students and faculty - in an inclusive and
- Support researchers engaged in quantitative data analysis in a
variety of academic disciplines; primarily in the social sciences,
particularly economics, finance, politics, public policy, and
- Help shape quantitative research through supporting innovative
methods and approaches.
- Assist in the choice, application, and interpretation of
quantitative research methods, and with the use of statistical
- Manage, schedule, mentor and supervise a team of up to six
doctoral students who provide one-on-one research
- Engage in individual consultation and group instruction.
- Keep up to date with new methods, software, and
- Maintain efficient operation of the DSS Lab. Retrieve and
manipulate complex data from a variety of sources, transferring
data between platforms for use in multiple computing
- Create documentation and maintain the DSS unit's web
- Process data and create metadata for files in the DSS unit's
For more detail on Data and Statistical Services, see https://dss.princeton.edu/.
- Master's degree in a social science such as economics, finance,
politics, public policy, sociology or related fields.
- Experience using STATA and helping others to do the same.
- Research methods background with focus on quantitative data
analysis and computing.
- Experience using the R programming language and helping others
to do the same. Advanced degree in a quantitative-focused social
science discipline 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 or programming
ability. Strong econometrics background.
- Familiarity with social sciences, economic and/or financial
data. Expertise with other statistical and programming packages;
particularly Python, SAS, SPSS, and MATLAB.
The successful candidate will be appointed to an
appropriate Professional Specialist rank depending upon
qualifications and experience. Applications will be accepted only
from the Jobs at Princeton website and must include a resume, cover
letter, and a list of three references with full contact
This position is subject to the University's background check
policy. Princeton University Library is committed to recruiting a
diverse workforce and advancing the University's commitment to
racial equity within our community and in the world. We encourage
candidates from all diverse backgrounds and life experiences to
apply for our positions. To find out more about PUL's work towards
greater inclusivity, equity, and diversity, please see PUL's
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