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Kandungan disediakan oleh Matt Alder and Evergreen Podcasts. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Matt Alder and Evergreen Podcasts atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
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Ep 594: Recruiting Data Science Skills

27:09
 
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Manage episode 402385527 series 1535872
Kandungan disediakan oleh Matt Alder and Evergreen Podcasts. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Matt Alder and Evergreen Podcasts atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

With the development and adoption of AI accelerating at an unprecedented pace, the demand for data scientists and data skills in general is snowballing. To recruit successfully in this competitive talent market, TA teams must understand the specific data skills their organisation needs and the intrinsic career motivations of the data professionals they seek to engage with.

My guest this week is Akshay Swaminathan, Head of Data Science at Cerebral and co-author of a new book called "Winning With Data Science". In our conversation, Akshay offers an insider view on the data science talent market, what motivates data scientists to move companies and the most effective recruiting process for people with this skillset. Essential listening for anyone recruiting data science professionals or working in talent markets with similar skills shortages.

In the interview, we discuss:

  • The growing demand for data science professionals

  • The specific data skills that employers currently need

  • Is there any consistency in data science job titles?

  • What would motivate a data science professional to move jobs?

  • How should recruiters source and engage in this talent market

  • What type of hiring process will drive the most successful outcomes?

  • Gig working and fractional working

  • Creating business value from AI

  • What skills will be needed in the future as the development and adoption of AI ramps up?

Follow this podcast on Apple Podcasts.

  continue reading

669 episod

Artwork
iconKongsi
 
Manage episode 402385527 series 1535872
Kandungan disediakan oleh Matt Alder and Evergreen Podcasts. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Matt Alder and Evergreen Podcasts atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

With the development and adoption of AI accelerating at an unprecedented pace, the demand for data scientists and data skills in general is snowballing. To recruit successfully in this competitive talent market, TA teams must understand the specific data skills their organisation needs and the intrinsic career motivations of the data professionals they seek to engage with.

My guest this week is Akshay Swaminathan, Head of Data Science at Cerebral and co-author of a new book called "Winning With Data Science". In our conversation, Akshay offers an insider view on the data science talent market, what motivates data scientists to move companies and the most effective recruiting process for people with this skillset. Essential listening for anyone recruiting data science professionals or working in talent markets with similar skills shortages.

In the interview, we discuss:

  • The growing demand for data science professionals

  • The specific data skills that employers currently need

  • Is there any consistency in data science job titles?

  • What would motivate a data science professional to move jobs?

  • How should recruiters source and engage in this talent market

  • What type of hiring process will drive the most successful outcomes?

  • Gig working and fractional working

  • Creating business value from AI

  • What skills will be needed in the future as the development and adoption of AI ramps up?

Follow this podcast on Apple Podcasts.

  continue reading

669 episod

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