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Klaviyo Data Science Podcast EP 49 | What Real Data Scientists Wish They'd Known Earlier in their Careers

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Manage episode 429496658 series 3251385
Content provided by Klaviyo Data Science Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Klaviyo Data Science Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

A big part of growing and developing as a data scientist, or any other member of a data science team, is taking time to reflect, learn, and distill experiences into advice. This month, we’ve asked four senior members of the data science team to do exactly that: look back over their careers, reflect on what they know and what they wished they’d known earlier, and tell everyone what those lessons are. Listen to this advice-filled episode to hear:

  • How taking a more scenic or indirect career route can impart valuable experiences
  • The growth and development opportunities that truly unlocked new phases of their careers, and how you can make the most of similar opportunities
  • Why mistakes often make the best learning opportunities

For the full show notes, including who's who, see the ⁠⁠⁠⁠⁠⁠⁠⁠Medium writeup⁠⁠⁠⁠⁠⁠⁠⁠.

  continue reading

58 episodes

Artwork
iconShare
 
Manage episode 429496658 series 3251385
Content provided by Klaviyo Data Science Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Klaviyo Data Science Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

A big part of growing and developing as a data scientist, or any other member of a data science team, is taking time to reflect, learn, and distill experiences into advice. This month, we’ve asked four senior members of the data science team to do exactly that: look back over their careers, reflect on what they know and what they wished they’d known earlier, and tell everyone what those lessons are. Listen to this advice-filled episode to hear:

  • How taking a more scenic or indirect career route can impart valuable experiences
  • The growth and development opportunities that truly unlocked new phases of their careers, and how you can make the most of similar opportunities
  • Why mistakes often make the best learning opportunities

For the full show notes, including who's who, see the ⁠⁠⁠⁠⁠⁠⁠⁠Medium writeup⁠⁠⁠⁠⁠⁠⁠⁠.

  continue reading

58 episodes

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