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From Amazon research scientist to head of data product at Vestiaire Collective, why data science projects fail, how to be a good communicator - Alisa Kim - the data scientist show #054

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Manage episode 344594136 series 3012777
Content provided by Daliana Liu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daliana Liu 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.

Alisa Kim is the head of data product at Vestiaire Collective. Previously, she was a research scientist at Amazon Web Services. We used to work on the same team in Machine Learning Solutions Lab and Amazon Web Services. We have collaborated on projects before and previously she was a consultant and worked on analytics and investment banking. She has a Ph.D. in Econ AI and she has worked on various industries and multiple continents. She's someone I really enjoyed working with. We talked about her journey, the projects she worked on and the lessons she learnt. If you like the show subscribe to the channel and give us a 5 star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.

Alisa's LinkedIn: https://de.linkedin.com/in/alisakolesnikova

Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/

Daliana's twitter: https://twitter.com/DalianaLiu

(0:00) Intro

(00:01:38) how she got into data science

(00:04:38) day-to-day at AWS ML Solutions Lab

(00:08:00) AWS leadership principles

(00:16:34) challenges the consultant faces when working with external customers

(00:23:36) from AWS to Vestiaire Collective

(00:37:54) how to build a better data product

(00:44:17) how data scientist can align with business stakeholders

(00:57:52) from tech to business

(01:01:33) how to develop communication skills

(01:09:17) increase visibility of the data science team

(01:17:22) being proactive vs being passive in chasing opportunities

(01:24:06) get feedback from your "nearest neighbors"

(01:25:37) how to set boundary at work

(01:38:48) mistakes she made in her career

(01:48:25) how to manage disagreement

(01:57:53) future of data science

  continue reading

93 episodes

Artwork
iconShare
 
Manage episode 344594136 series 3012777
Content provided by Daliana Liu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daliana Liu 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.

Alisa Kim is the head of data product at Vestiaire Collective. Previously, she was a research scientist at Amazon Web Services. We used to work on the same team in Machine Learning Solutions Lab and Amazon Web Services. We have collaborated on projects before and previously she was a consultant and worked on analytics and investment banking. She has a Ph.D. in Econ AI and she has worked on various industries and multiple continents. She's someone I really enjoyed working with. We talked about her journey, the projects she worked on and the lessons she learnt. If you like the show subscribe to the channel and give us a 5 star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.

Alisa's LinkedIn: https://de.linkedin.com/in/alisakolesnikova

Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/

Daliana's twitter: https://twitter.com/DalianaLiu

(0:00) Intro

(00:01:38) how she got into data science

(00:04:38) day-to-day at AWS ML Solutions Lab

(00:08:00) AWS leadership principles

(00:16:34) challenges the consultant faces when working with external customers

(00:23:36) from AWS to Vestiaire Collective

(00:37:54) how to build a better data product

(00:44:17) how data scientist can align with business stakeholders

(00:57:52) from tech to business

(01:01:33) how to develop communication skills

(01:09:17) increase visibility of the data science team

(01:17:22) being proactive vs being passive in chasing opportunities

(01:24:06) get feedback from your "nearest neighbors"

(01:25:37) how to set boundary at work

(01:38:48) mistakes she made in her career

(01:48:25) how to manage disagreement

(01:57:53) future of data science

  continue reading

93 episodes

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