Emma Ding is a data scientist turned career coach. 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 https://www.datainterviewpro.com/. Among the 80 clients she worked with, 90% of them received data scientist job offers from top tech companies, such as meta, linkedin, doordash, robinhood, etc. 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 www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Emma's YouTube: https://www.youtube.com/c/
DataInterviewPro Free product case class: https://www.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: https://www.linkedin.com/in/emmading001/
(00:00) 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 her 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
