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https://insidebigdata.com/2013/11/27/data-scientist-vs-data-artist/
Nov 27, 2013 · A data artist is responsible for delivering fresh insights from data to help an organization meet its goals. This is the person who takes the output from decision-support systems and turns it into consumable theories, postulates and hypotheses that can be tested and applied to …
https://www.datasciencecentral.com/profiles/blogs/data-scientist-please-meet-the-data-artist
The Data Artist takes a sample of the sand and creates a model that does not represent the sand, but the human side of the equation. An artist must understand the raw material well enough to know its limitations and its strengths, and then use that material to create something that communicates to others.
https://theartistsofdatascience.fireside.fm/page/7
If so, hit play on any episode and let's turn you into an Artist of Data Science! The Artists of Data Science on social media. Your Host Harpreet Sahota Episodes All Seasons Season 1 Season 2 Season 3 Season 4 Season 5 Season 6 Season 7 Season 8 Season 9 …
https://www.microsoft.com/en-us/research/wp-content/uploads/2017/09/kim-tse-2017.pdf
Data scientists are becoming popular within software teams, e.g., Facebook, LinkedIn and Microsoft are creating a new career path for data scientists. In this paper, we present a large-scale survey with 793 professional data scientists at Microsoft to ... person, artist, etc.). Harris et al. used the answers to clas-sify data scientists into ...Cited by: 74
https://www.northeastern.edu/graduate/blog/data-science-careers-shaping-our-future/
Jun 04, 2020 · 11 Data Science Careers Shaping Our Future. For four years in a row, data scientist has been named the number one job in the U.S. by Glassdoor. What’s more, the U.S. Bureau of Labor Statistics reports that the demand for data science skills will drive a 27.9 percent rise in employment in the field through 2026.
https://hbr.org/2018/11/the-kinds-of-data-scientist
Data science for humans: the consumers of the output are decision makers like executives, product managers, designers, or clinicians. They want to draw conclusions from data in order to make ...
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