I have a MS in DS from top tier CS university, and I have been working as a data scientist for less than 1 year. Daily work includes analytics & AB testing (60%) and building ML models (40%). The current team has some modeling projects, but the larger organization is mainly doing analytics. Their daily work is just SQL+story telling. I would like to transition to a role that is more modeling focused, and has better engineering culture in the next year. Can anyone give me some suggestions on which companies/roles I can apply for if I want to avoid SQL everyday roles? I mean I want to be real data scientist instead of SQL scientist which is in essence business analyst.
Some potential roles are as follows:
Google: Quantitative analyst, Software engineer in highly ML team
FB: DS analytics, DS infrastructure, SWE in highly ML team
LinkedIn: DS, MLE
Amazon: DS, Research scientist, Applied scientist
Apple: DS, MLE
Airbnb: DS analytics/inference/algorithm track
Pinterest: DS, MLE
Twitter: DS, MLE
Any suggestion will be appreciated.
The most accurate way to gauge what work is actually done is to look at the questions asked in the interview process.