Career Paths and Prospects in Academic Data Science: Report of the Moore-Sloan Data Science Environments (MSDSE) Survey

R. Stuart Geiger, Charlotte Mazel-Cabasse, Chihoko Cullens, Laura Norén, Brittany Fiore-Gartland, Diya Das, Henry Brady

SocArXiv
June 6, 2018

This report is based on a 2016 survey of members and affiliates of three institutes of data science at major U.S. research universities, focusing on career paths for data scientists within academia. After considering how our respondents define data science, we identify various activities, priorities, resources, and concerns around data science in academia, especially with respect to data science careers. We end by providing recommendations about how universities can better support an emerging set of roles and responsibilities around data and computation within and across academic fields.

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New report on Career Paths and Prospects in Academic Data Science
June 6, 2018 | R. Stuart Geiger | BIDS Blog: Data Science Insights



Featured Fellows

R. Stuart Geiger

BIDS Alum – ETHNOGRAPHER

Charlotte Cabasse

BIDS Alum – Ethnographer

Chihoko Cullens

Space Sciences Laboratory
BIDS Alum – Data Science Fellow

Diya Das

Molecular & Cell Biology
BIDS Alum – DATA SCIENCE FELLOW

Henry Brady

Goldman School of Public Policy, UC Berkeley
BIDS Faculty Council