Position Summary: New York University's (NYU) Data Services, a joint ITS and
Library service, is seeking a full-time Senior Data Services Specialist to
provide quantitative research computing support to faculty, students, and
staff at NYU.

  
The incumbent will be working in a vibrant and collaborative environment on a
team that supports all phases of the data lifecycle in research, teaching, and
learning, including collection, analysis and preservation. He or she will
provide client services, technical assistance, project management and
administrative support, methodological expertise, and leadership in support of
the numeric and statistical research and computing services offered to the
faculty, student and professional patrons of ITS/Libraries Data Services. This
dynamic and collaborative individual will work closely with Division of
Libraries professionals and faculty as well as with colleagues in NYU Academic
Technology Services and High Performance Computing Services with respect to
referrals, service development, technology, standards, resources, and
projects. The Senior Data Services Specialist will have operational
supervision of the Data Services facility and will be responsible for
identifying, hiring, training, coordinating and supervising quantitative
specialists.

  
Responsibilities

? Play a lead role in shaping and delivering quantitative services in Data
Services

? Provide statistical programming support to academic researchers

? Develop and deliver training sessions on research software packages and
tools

? Keep up-to-date on technical and methodological advances in computational
sciences

? Perform various administrative duties associated with managing an academic
facility

? Serve as primary liaison between Data Services and ITS High Performance
Computing

  
Qualifications/Required Education: Bachelor's degree in one of the following
fields: statistics, sociology, psychology, political science, economics or
another field where knowledge of quantitative methods and tools is
indicated

  
Preferred Education: Master's degree in statistics or the social, computer and
mathematical sciences is strongly preferred.

  
Required Experience: 4 years relevant experience or an equivalent combination
is required. That experience must include demonstrated ability in supporting
information technology, training, programming and client services. Experience
with methodologies of the social and behavioral sciences, quantitative
methodologies, and numeric datasets is required. Demonstrated practical and
theoretical experience with statistics, statistical analysis and quantitative
methods is required and will be considered in lieu of a Master's
degree.

  
Preferred Experience: Experience in an academic environment, preferably in IT
and/or Libraries.

  
Required Knowledge, Skills, and Abilities: (include unique competencies,
certification, licenses, etc.): The Senior Data Service Specialist will
possess a strong knowledge of statistics, quantitative methods and research
design and have facility in, among other things, regression analysis,
sampling, data collection, correlation, analysis of variance, tests of
significance and measurements of central tendency. A knowledge of SPSS, Stata,
SAS or R is required. Excellent interpersonal and communication skills are
required as is a commitment to the provision of exceptional public service and
customer service.

  
Preferred Knowledge, Skills, and Abilities: (include unique competencies,
certification, licenses, etc.): Familiarity with or training in quantitative
analysis and statistical software. Experience in any of the following areas is
preferred: website design, instructional design, programming experience with
modern languages. Additional knowledge of qualitative methods and qualitative
analysis software is desirable. Knowledge of one language other than English
is desirable.



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