Data Science Fellow

The Center for Academic Innovation (CAI) is hiring a data science fellow. CAI is charged with creating a culture of innovation in learning. As a catalyst for innovation, we aim to shape the future of learning by unlocking new opportunities for enabling personalized, engaged, and lifelong learning for the U-M community and learners around the world. (Read more about CAI).  

Since its inception, over 50,000 students have interacted with an CAI-supported tool in some way. Additionally, there have been over 17 million enrollments in our online learning experiences. We’re 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. 

Responsibilities

• Take on research projects in the field of learning analytics
• Develop measures to predict performance and/or curricular trajectories
• 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.
• Data analytics experience with an open-source or statistical programming language (R, SAS, SPSS, etc.). 
• Experience merging and cleaning large, dense datasets in CSV format.
• Knowledge of, and experience with, basic statistical analysis techniques such as correlation, t-test, ANOVA, regression, chi-square, effect size. 
• Demonstrated ability to be self-directed and work independently or as part of a rapidly changing, multidisciplinary, multicultural, and collaborative environment.

Desired Qualifications

• Experience with Jupyter Notebook
• Experience with using Atlas
• Legal authorization to work in the United States

Hours 

10 to 15 hours per week 

Start Date

September, 2022 (flexible)

End Date

May 2023 (flexible) 

How to Apply

Send a cover letter and resume to marmills@umich.edu. (Please add “Data Science Fellow” to your subject line.)