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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.
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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.
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First published:
Source:
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Narrated by TYPE III AUDIO.
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Images from the article:
Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
By 80000 HoursData 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:
Source:
---
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.