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Data Scientist/Analyst, Machine Learning Engineer to help with a University of Chicago Study
We are recruiting participants for an interview study, where you will discuss how you would prepare a dataset, though no actual coding will occur. Study Title: Characterization of Approaches to Data Augmentation IRB Study Number: University of Chicago IRB23-1877 Researcher(s): Blase Ur, Alex Kale, Kevin Bryson Eligibility Criteria: Live in the United States and are over the age of 18. AND 1 or more of the following Experience working as a Data Scientist, Data Analyst, Data Engineer, or similar position. OR Experience working as a Machine Learning Engineer, Machine Learning Researcher, or similar position. OR Experience with data analysis, cleaning, and processing data. If you qualify, we will send a message to share further details about the study, inviting you to a one hour remote interview, for which you will be compensated $50.