Product data science for Microsoft AI, data scientist's role of GenAI, how to deal with burn out - Sid Sharan - The Data Scientist Show #077

Siddhartha Sharan is a Senior Data and Applied Scientist at Microsoft, helping product teams make data-driven decisions. Currently he is working on an AI product built with OpenAI APIs for sentiment analysis. We talked about how he evaluates AI products built with large language models at Microsoft, product data science, and how he went from a business background to data science. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.

Sid’s LinkedIn: https://www.linkedin.com/in/siddharthasharan/

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

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

(00:00:00) Introduction
(00:05:20) How does Microsoft evaluate AI product
(00:16:17) Using OpenAI API for sentiment analysis
(00:25:29) Microsoft data science team culture
(00:26:52) DS, PM collaboration
(00:28:29) Three steps to build trust in data science
(00:30:13) How did he got into Microsoft
(00:34:09) Level up in Genetech
(00:36:09) ML engineer vs Product DS
(00:37:43) Core skills in product DS
(00:40:20) Hiring
(00:42:47) How to deal with burnout
(00:45:03) Should you over work to earn trust?
(00:45:44) Daliana's story about first day at Amazon
(00:49:54) Will AI replace data scientists?
(00:51:32) Data scientist's role of GenAI
(00:54:32) How to keep up with GenAI