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Indhold leveret af Jacqueline Nolis and Emily Robinson, Jacqueline Nolis, and Emily Robinson. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Jacqueline Nolis and Emily Robinson, Jacqueline Nolis, and Emily Robinson eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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Chapter 2: Data Science Companies

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Manage episode 274092272 series 2803699
Indhold leveret af Jacqueline Nolis and Emily Robinson, Jacqueline Nolis, and Emily Robinson. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Jacqueline Nolis and Emily Robinson, Jacqueline Nolis, and Emily Robinson eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

While the popular image of a data scientist is one solving cutting-edge problems at a large tech company, data scientists work in every type of organization. In this episode, we talk through five company archetypes, from small start-ups to government contractors to traditional retail companies. We weigh the pros and cons of working at each and debate the career changing question of: "should you be a company's first data scientist?"

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22 episoder

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Manage episode 274092272 series 2803699
Indhold leveret af Jacqueline Nolis and Emily Robinson, Jacqueline Nolis, and Emily Robinson. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Jacqueline Nolis and Emily Robinson, Jacqueline Nolis, and Emily Robinson eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

While the popular image of a data scientist is one solving cutting-edge problems at a large tech company, data scientists work in every type of organization. In this episode, we talk through five company archetypes, from small start-ups to government contractors to traditional retail companies. We weigh the pros and cons of working at each and debate the career changing question of: "should you be a company's first data scientist?"

  continue reading

22 episoder

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