The American Statistican
Many current and future data scientists will be “isolated”—working alone or in small teams within a larger organization. This isolation brings certain challenges as well as freedoms. Drawing on my considerable experience both working in the professional sports industry and teaching in academia, I discuss troubled waters likely to be encountered by newly minted data scientists and offer advice about how to navigate them. Neither the issues raised nor the advice given are particular to sports and should be applicable to a wide range of knowledge domains.
Applications and case studies, Education, Other, Sports statistics, Statistical computing
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Licensed to Smith College and distributed CC-BY under the Smith College Faculty Open Access Policy.
Baumer, Benjamin, "Lessons from Between the White Lines for Isolated Data Scientists" (2017). Mathematics and Statistics: Faculty Publications. 35.