Uploaded August 2022 | Updated September 2026, 2 weeks ago
Emma Ding is a data scientist turned career coach (her YouTube is @emma_ding ) . Previously she was a data scientist and software engineer at airbnb. I first discovered her through a viral Medium blog called “how I got 4 data science offers and doubled my income 2 months after being laid off". Today, her mission is to help data scientists land their dream offers by being strategic and efficient in their interview preparation at www.datainterviewpro.com. Among the 80 clients she worked with, 90% of them received data scientist job offers from top tech companies. We talked about how she doubled her salary and got into Airbnb after she was laid off, her experience at Airbnb during the first half of the podcast, and then we’ll dive into new trends in data science interviews and her best strategy to get a data scientist job. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on dalianaliu.com for more on data science.
Daliana's LinkedIn: linkedin.com/in/dalianaliu
Daliana's Twitter: twitter.com/DalianaLiu
Emma's YouTube: youtube.com/c/DataInterviewPro
Free product case class: datainterviewpro.com/product-case-masterclass-registration
Books on causal inference: Mostly harmless econometrics and Mastering Metrics: The Path from Cause to Effect.
Emma's Linkedin: linkedin.com/in/emmading001
0:00 Intro
00:04:24 her strategy to get the data scientist offer after the layoff
00:07:00 advices for preparing interviews
00:14:04 her day-to-day at Airbnb
00:16:46 things she learnt from the mentor
00:18:07 from a data scientist to a SDE to a data interview pro
00:22:12 trends of data science interview
00:26:48 data scientist tracks: analytics-driven vs algorithms-driven
00:32:56 SQL interviews: readability and proficiency
00:35:06 make a study plan, execute it and keep the confidence
00:41:29 what she teaches in her datainterview.com
00:43:45 how to tackle take-home challenges
00:45:41 how to negotiate salaries
00:46:56 how to build confidence in the job search process
00:50:23 how to study efficiently different subjects
00:54:26 how to transition to data science
01:00:05 how to remedy mistakes during the interview
01:03:37 is data scientist still in demand?
01:08:43 advices for getting ready for the new career
Emma Ding is a data scientist turned career coach (her YouTube is @emma_ding ) . Previously she was a data scientist and software engineer at airbnb. I first discovered her through a viral Medium blog called “how I got 4 data science offers and doubled my income 2 months after being laid off". Today, her mission is to help data scientists land their dream offers by being strategic and efficient in their interview preparation at www.datainterviewpro.com. Among the 80 clients she worked with, 90% of them received data scientist job offers from top tech companies. We talked about how she doubled her salary and got into Airbnb after she was laid off, her experience at Airbnb during the first half of the podcast, and then we’ll dive into new trends in data science interviews and her best strategy to get a data scientist job. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on dalianaliu.com for more on data science.
Daliana's LinkedIn: linkedin.com/in/dalianaliu
Daliana's Twitter: twitter.com/DalianaLiu
Emma's YouTube: youtube.com/c/DataInterviewPro
Free product case class: datainterviewpro.com/product-case-masterclass-registration
Books on causal inference: Mostly harmless econometrics and Mastering Metrics: The Path from Cause to Effect.
Emma's Linkedin: linkedin.com/in/emmading001
0:00 Intro
00:04:24 her strategy to get the data scientist offer after the layoff
00:07:00 advices for preparing interviews
00:14:04 her day-to-day at Airbnb
00:16:46 things she learnt from the mentor
00:18:07 from a data scientist to a SDE to a data interview pro
00:22:12 trends of data science interview
00:26:48 data scientist tracks: analytics-driven vs algorithms-driven
00:32:56 SQL interviews: readability and proficiency
00:35:06 make a study plan, execute it and keep the confidence
00:41:29 what she teaches in her datainterview.com
00:43:45 how to tackle take-home challenges
00:45:41 how to negotiate salaries
00:46:56 how to build confidence in the job search process
00:50:23 how to study efficiently different subjects
00:54:26 how to transition to data science
01:00:05 how to remedy mistakes during the interview
01:03:37 is data scientist still in demand?
01:08:43 advices for getting ready for the new career
