EPISODE · Jun 13, 2015 · 10 MIN
[Career review] “Data science (for skill-building & earning to give)” by Roman Duda
from 80,000 Hours - Narrations
Data science jobs involve obtaining data, cleaning it, analysing it and communicating actionable insights to decision makers in organisations. The title ‘Data scientist’ is used for a wide range of jobs, which range from entry-level positions only requiring basic knowledge of databases and Excel, all the way to high-level roles which involve inventing new algorithms, working with very large data sets and undirected research into open-ended questions. Narrated by AI. ---Outline:(00:10) Summary(00:39) Pros(01:18) Cons(01:36) Key facts on fit(01:52) Next steps(02:23) Sometimes recommended(02:33) Review status(02:38) Research process(02:53) What is this career path?(04:42) Personal fit(05:12) Entry requirements(06:07) Direct impact potential(06:50) Earnings potential(07:48) Bootcamp graduates(08:13) Advocacy potential(08:28) Career capital(09:08) Exploration value(09:20) Job satisfaction(09:55) Alternatives(10:10) Further reading The original text contained 2 footnotes which were omitted from this narration. --- First published: June 13th, 2015 Source: https://80000hours.org/career-reviews/data-science --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
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[Career review] “Data science (for skill-building & earning to give)” by Roman Duda
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