Y Combinator
Y Combinator
Y Combinator
#111 - Jake Klamka and Kevin Hale
48 minutes Posted Feb 6, 2019 at 2:00 am.
Kevin's intro01:07 - Jake's intro1:42 - Applying to YC with one product then changing it4:07 - How Insight started4:57 - Jake's first students and initial coursework8:37 - Finding out what companies want from data scientists10:37 - Picking the first class of students12:07 - Common pitfalls for people transitioning into data science15:07 - Types of data science roles17:22 - What data scientists should look out for in companies18:17 - Chuck Grimmett asks - When do you know you need to bring in seasoned data scientists?20:37 - How Insight has scaled and changed22:37 - What happens in the program23:57 - Examples of a good project for a data science resume26:27 - Will more data scientists be founders in the future?28:37 - Teaching product29:37 - Cleaning data32:07 - Tools for tracking data32:57 - Track what are you trying to optimize35:57 - Churn and conversion39:37 - Is there an ideal background for a data scientist?41:37 - Which startups recruit well at Insight?43:37 - Contracting46:17 - Fields Jake is excited about
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Show notes
Jake Klamka founded Insight. Insight provides intensive 7 week professional training fellowships in fields such as data science and data engineering. Insight was in the YC Winter 2011 batch.Kevin Hale is a Visiting Partner at YC. Before YC Kevin was the cofounder of Wufoo, which was funded by YC in 2006 and acquired by SurveyMonkey in 2011.You can find Jake on Twitter at @jakeklamka and Kevin at @ilikevests.The YC podcast is hosted by Craig Cannon.***Topics00:37 - Kevin's intro01:07 - Jake's intro1:42 - Applying to YC with one product then changing it4:07 - How Insight started4:57 - Jake's first students and initial coursework8:37 - Finding out what companies want from data scientists10:37 - Picking the first class of students12:07 - Common pitfalls for people transitioning into data science15:07 - Types of data science roles17:22 - What data scientists should look out for in companies18:17 - Chuck Grimmett asks - When do you know you need to bring in seasoned data scientists?20:37 - How Insight has scaled and changed22:37 - What happens in the program23:57 - Examples of a good project for a data science resume26:27 - Will more data scientists be founders in the future?28:37 - Teaching product29:37 - Cleaning data32:07 - Tools for tracking data32:57 - Track what are you trying to optimize35:57 - Churn and conversion39:37 - Is there an ideal background for a data scientist?41:37 - Which startups recruit well at Insight?43:37 - Contracting46:17 - Fields Jake is excited about