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Data Science Fellow (General)

Deadline to apply: September 7, 2023
Location: Hybrid (317 Maynard, Ann Arbor, MI 48104)
Pay Rate: Undergraduate $17/hr, Master’s $20/hr, Doctoral $23/hr
Job Duration: 10 – 15 hours for the fall 2023 term, with the possibility of extending the fellowship
Hiring Manager: Mark Mills (

Who we’re looking for:

The Research and Analytics (R&A) team is looking for a student who is independent, detail-oriented, and reliable to help us analyze and draw inferences from user behavior to complement our research capabilities and ultimately improve the learning experiences we produce.

What You’ll Learn:

  • Take on research projects in the field of learning analytics
  • Develop measures to predict performance
  • Build creative data visualizations
  • Present findings and conclusions back to team members
  • Implement algorithms into CAI tools

Required Qualifications:

  • Currently pursuing a bachelor’s degree, master’s degree, or PhD in data science, quantitative psychology, education statistics, informatics, econometrics, or a related field.
  • Significant data analytics experience with an open-source or statistical programming language (R, Python, SAS, SPSS, etc.). 
  • Experience merging and cleaning large, dense datasets in CSV format.
  • Knowledge of, and experience with, advanced statistical analysis techniques, such as multilevel modeling, random effects, item response theory, cluster and factor analysis, etc. 
  • Demonstrated ability to be self-directed and work independently or as part of a rapidly changing, multidisciplinary, multicultural, and collaborative environment.

Desired Qualifications (not required to apply):

  • Experience with adaptive testing algorithms and crossed (subject x item) random effects
  • Experience with using Problem Roulette

How to apply

Complete and submit the Student Fellowship Application and upload the following required documents:

  • Cover Letter
  • Resume