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The Science of Managing Data Science: Lessons learned managing a data science research team

Published: 15 April 2015 Publication History

Abstract

What are they doing all day? When I first took over as VP of Engineering at a startup doing data mining and machine learning research, this was what the other executives wanted to know. They knew the team was super smart, and they seemed like they were working really hard, but the executives had lots of questions about the work itself. How did they know that the work they were doing was the "right" work? Were there other projects they could be doing instead? And how could we get this research into the hands of our customers faster?

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Published In

cover image Queue
Queue  Volume 13, Issue 4
Distributed Computing
April 2015
46 pages
ISSN:1542-7730
EISSN:1542-7749
DOI:10.1145/2756506
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 April 2015
Published in QUEUE Volume 13, Issue 4

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  • (2022)Inferring the patient’s age from implicit age clues in health forum postsJournal of Biomedical Informatics10.1016/j.jbi.2021.103976125:COnline publication date: 1-Jan-2022
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  • (2021)ToonNote: Improving Communication in Computational Notebooks Using Interactive Data ComicsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445434(1-14)Online publication date: 6-May-2021
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  • (2020)Teacher Tracking with IntegrityProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33810174:1(1-27)Online publication date: 18-Mar-2020
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  • (2019)Generating precise error specifications for C: a zero shot learning approachProceedings of the ACM on Programming Languages10.1145/33605863:OOPSLA(1-30)Online publication date: 10-Oct-2019
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