Senior Data Services Specialist

Full time

Created: November 21, 2012
New York City
1 other recent jobs

Description

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.


Last updated: Tuesday, February 28, 2017 23:46 UTC

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Published: Wednesday, November 21, 2012 17:55 UTC