The Georgia State University Library seeks a Data Services Specialist (Data Science / Analytics Focus). If you are passionate about igniting a passion for data in others, this position is for you! The full position posting with job responsibilities, required and preferred qualifications, salary range, and information about required application materials is at lib.gsu.edu/DataServicesSpecialist
Review of materials will begin immediately, with complete applications received by May 31, 2022, receiving full consideration.
Please feel free to share this posting with your relevant networks. Any questions can be directed to the search committee chair, Dr. Mandy Swygart-Hobaugh
Supporting GSU students, faculty, and staff in the areas of data analysis tools & methods, data visualization, finding data & statistics, data collection, and data cleaning & management.
Earn micro-credential BADGES! Learn more at
(she | her)
Quantitative & Qualitative Data
Data Literacy & Learning Specialist
(he | him)
Quantitative Data & GIS (GRA)
(he | him)
ONE-ON-ONE HELP -- Contact an RDS member to schedule one-on-one consults.
|WORKSHOPS -- LIVE WORKSHOPS and RECORDINGS plus micro-credential BADGES.||CUSTOM SESSIONS -- Contact an RDS member for support for classes & research teams.|
Connect services with contact information for those providing them: (1) use the RDS members initials bubbles key above, or (2) click the initials bubbles below.
NOTE: (1) The examples below are not exhaustive; (2) Our primary focus is helping to implement analytic methods, not necessarily teaching underlying methodological principles.
Inferential Bivariate Statistics (e.g., ANOVA, t tests, correlation, chi-square)
Generalized Linear Models
Time-Series Analysis & Multilevel Models
Multivariable Regression Analysis (Logistic, Ordinal, Multinomial)
Hierarchical Linear Models
Structural Equation Models
Mediation and Moderation Analysis
Complex Survey Data Analysis
Unsupervised Learning (e.g. Clustering)
Experimental & Quasi-Experimental Design
Medical Record Extraction
Systematic Review Methods (data analysis component)
Interview Guide Design
Data Analysis Techniques
Grounded Theory Methods
NOTE: Please see the RDS Scope of Services statement.
IMPORTANT: This is NOT data management plan language! This is general language about RDS support. For help on writing data management plans, see our data management guide.