I got six offers for senior data scientist roles
I'm going to do another post with tips from my interview. Every company asks variants of the same fifteen or twenty questions, especially for tech interviews in data science. My offers- WeWork- 210/230/0 (3 year vesting schedule) Asana- 170/40K options/20 DoorDash- 160/170/20 Postmates- 190/35K options/0 LinkedIn- 190/290/60 Snap- 195/280/20 I ended up choosing LinkedIn. Strong comp and a really strong manager. Plus, I think promotion schedule is pretty fast and I want to work down in the south bay. Doordash is so much lower because I was coming in at a regular data science level, not senior. YOE: 5. No masters, but I took a bunch of Stanford Lagunitas open data science courses and added them to my resume and linkedin. All applications came from referrals.
Congrats! Had no idea wework gave such offer
Given what I've heard about them, maybe they're not planning for year 4.... /jk
Please share your experience as data scientist and how you get there. I have string programming background but I am interested in Data Science role as future goal. Thank you.
Let me know if you have any specific questions. I'm going to put up another post with recommendations for the interview.
Can you share link to the post, OP?
All your 5 YOE in data science?
Yup.
How are the job opportunities for data scientists compared to software engineers?
There's demand for all levels, including entry, and it hasn't yet been taken over by new grads. Can't say anything about swe roles.
Congrats. As someone from the inside, do you see data science taking any drastic turns in the next few years? My guess is that the field just gets divided into more specific roles, and hopefully the job availability will still be there.
Is it getting reduced?
1) Right now, strong SQL is enough to get you onto an onsite (plus answers to pretty easy behaviorals). That's going to change, the most complicated queries really just aren't that hard and people will leetcode that shit. 2) Machine learning will be automated. It'll be a long time until its fully automatic, but model selection and tuning is already being done algorithmically (see SageMaker). ML is going to be a lot more accessible, even without a PhD. 3) There's going to be a flood of new grads. Graduate programs already have programs in data science and it's inevitable that it'll trickle down to undergrads. The role pays too much-- that makes right now a good time to get experience and beat the wave. Then again-- there was a peak in the early 2010s (see "Data Scientist: The Sexiest Job of the 21st Century" https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century) and there's still heavy demand.
What questions do they usually ask for data scientist interviews?
LinkedIn was the hardest interview, they asked good stats questions, a medium difficulty SQL question, a couple of behaviorals and some really good AB questions.
Thanks. Any Leetcode style coding question?
Can you share what are the typical 15/20 questions asked ? I have an older sibling who is pivoting to data science using MOOCs and this would help them prep for interviews. Appreciate your post !
I'm going to do another post on it. Happy to practice with your sib, DM me.
Thanks OP, will do :)
Cool, congrats! Did you applied to other companies?
I submitted applications to 60 companies, had phone calls with about 30, tech screens with around 20 and onsites at nine or ten.
That’s quite a number of applications. Were all of those 60 applications for data scientist roles based in Bay Area?
Get a 7th for an actually solid company
#humblebrag