Job Details  

Data Entry Specialist
Click here to apply for this job
Job ID 75464
Job Funding Source Work-Study, Non-Work-Study, Remote
Employer Library Learning & Teaching
Category Technical
Job Description

This position is sponsored by the Center for Academic Innovation. The Data Scientist Analyst for STEM Library will work with Dr. Sevryugina on entering and analyzing data related to students’ use of GenAI tools. Specific activities include analysis of students’ prompts, students’ essays, development of surveys, collection and analysis of students’ feedback, as well as technical assistance in identifying Large Language Model use in essays. The preference will be given to students with a strong background in data science and curiosity towards exploring GenAI tools. The Data Scientist Analyst will be expected to work with minimal supervision. Duties include but are not limited to: Working with databases, Creating API queries; Automating processes by writing scripts; Updating existing datasets and designing new datasets; Analyzing & disseminating data, Conducting empirical research and quantitative data analysis (including statistical analysis); Visualizing data for internal and external audiences; Building data dashboards. Managing research process & presenting findings; Identifying and implementing appropriate research methods and techniques; Scheduling, organizing, and reporting on research activities; Identifying creative, innovative next steps based on findings; Writing and editing materials for presentation and possibly publication; Participating in team meetings and other activities.

Educational Value

The student will be able to ...

  • Grasp the fundamental principles of GenAI: definition, purpose, and applications in the realm of scientific research and library instructions.
  • Become familiar with key research impact metrics, such as citation analysis, co-authorship networks, h-index, and impact factor, and be able to explain their significance in assessing research output and influence.
  • Develop proficiency in collecting, cleaning, and analyzing big data using appropriate tools and software.
  • Learn how to critically assess the limitations and biases associated with the use of GenAI-tools.
  • Present their findings coherently and concisely, showcasing their information literacy skills necessary for presenting and communicating science.
Job Requirements
Required Qualifications
Position-Specific Required Qualifications (applicants need have all):
  • Proficiency in scripting languages (Python: pandas, seaborn, numpy, matplotlib, bokeh, etc.) using Jupyter Notebooks; 
  • Experience with API requests and Data visualization in Python;
  • Ability to learn quickly, and to work independently;
  • Attention to detail and ability to meet deadlines.
Desired Qualifications
Position-Specific Desired Qualifications (applicants need not have all):
  • Ability to work with relational databases (SQL);
  • Experience handling “Big Data”;
  • Data visualization experience (D3, Tableau, etc.);
  • Strong understanding of quantitative research methods (statistical analysis, etc.);
  • Experience with specialized electronic databases or datasets (e.g., U-M Data, Web of Science, PubMed);
  • Excellent verbal and written communication skills, good interpersonal skills;
  • Love of libraries!!
Hourly Rate $15.00/hour
Hours 6.0 to 10.0 hours per week
Time Frame Fall/Winter
Start Date ASAP
End Date Thursday, December 31, 2026
Primary Contact SSC HR Coordinators SSC HR Coordinators
Primary Contact's Email N/A
Supervisor Yulia Sevryugina
Work Location remote and the Taubman Library
Phone N/A
Fax N/A