My $312k Data Science Job Offer Revealed

In this video I talk about three Data Science Offers I got from Tech leaders such as Lyft, Airbnb, and Twitter. I break down all the different parts of a typical DS offer and compare how different companies compensate for the same types of roles. Lastly, I’ll take a look at what my offers from the aforementioned tech giants would be in 2022, and the results just might surprise you!
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Contents of this video:
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00:00 Introduction
01:44 What’s in an offer
05:04 Context of my offers
07:03 Data Scientist Offer from Twitter
08:53 Data Scientist Offer from Lyft
10:07 Data Scientist Offer from Airbnb
12:58 Today’s value of these packages

[@emma_ding]

If you prefer to read rather than watch this video, check out the blog post I wrote on this, and other, topics here ➡ www.emmading.com/blog/my-data-scientist-offers-from-airbnb-lyft-twitter

[@vans4lyf2013]

Thanks for being transparent about compensation, it is really helpful for newbies trying to assess their worth.

[@pistolpete247]

thank you for sharing! great video, clear and concise!

[@marlagansukh5523]

I just came across to your channel. I like your contents very organized, very well explained. Looking forward to your future contents. Thank you! I am a data science student and your contents are really coming in handy!

[@FF-sw7rv]

Great Video Like always. There is one topic that I think can be helpful for people who have kids and are trying to figure out if they will have a good work life balance if they move to FAANG companies. I have been a data scientist in a Non-Tech company for a couple of years and with having little kids, I am not sure how much I should sacrifice my personal life for work. It certainly depends on the company and the team but there should be a general trend in FAANG companies VS others. Thank you

[@ynandal]

hey i love your content, to the point and full of knowledge keep going!

[@shibinpaul1386]

Thank you so much for your transparency, Emma! Appreciate all your effort! Cheers!

[@emma_ding]

You're so welcome!

[@nianyiwang8993]

Morning Emma, thank you so much for preparing this video, it's really helpful since I'm about to enter the negotiation stage! One quick tip if you could include the location of your offer would be better since compensation would vary from location. Again, appreciate it!

[@emma_ding]

These offers are all based in California!

[@yidanhu7889]

Hi Emma, could you make some video to discuss how to conquer take home challenge? Thank you!

[@emma_ding]

Thank you for the suggestion. I will add it to my list of content ideas!

[@xiaoli2263]

Thank you for sharing, Emma! Another factor is the job location, were all those three offers based in California?

[@emma_ding]

Good question. Yes, these three offers are based in California.

[@arushijain9563]

Hey Emma, did you interview for the Decisions team or the Algorithms team at Lyft? Can you tell the difference in the interview processes for both?

[@vinovano3774]

Thanks for sharing! Do you have a rough estimate what these numbers would be at the same companies in Europe? (Let’s say in the Netherlands or in Germany)

[@InfinitesimallyInfinite]

Haha these salaries are crazy high for any company in the Netherlands. Even most directors do not earn more than 200k, average experienced data scientist these days earn 50k-70k, seniors 70k-90k. 100k+ is only in big tech.

[@arushijain9563]

Hey Emma, can you tell how did you land interviews at these companies?

[@user-me2mm2xu7j]

Thanks Emma.. Curious if the DS offer shared was more for Algorithm / ML position?

[@emma_ding]

The position I applied for Lyft and Twitter are product driven, and the one in Airbnb is data engineering driven. Hope this answers your question!

[@beyzadelen367]

Can you please talk about your interview experience with Airbnb???

[@emma_ding]

Absolutely. I will add it to my list of content ideas.

[@shermin2o9]

Were these senior level positions? And do junior / entry-level positions typically include salary bonuses and stock options? Thanks!

[@emma_ding]

Hi Justin, these are level 4 positions, which is kind of between senior (level 5) and entry level.

[@Josh-or3lq]

what kind of data science roles were these? product? analytics? algorithms?

[@emma_ding]

The position I applied for Lyft and Twitter are product driven, and the one in Airbnb is data engineering driven. Hope this answers your question!

[@Darkeb2]

How did you get interview at airbnb ? Im trying a long time even good experience 😢

[@rickyliuna9376]

Financial Services Industry such as Banks, Investment firms, hedge fund, insurance offer much more attractive packages..

[@emma_ding]

Great observation Ricky! Thanks for sharing!

[@rickyliuna9376]

@@emma_ding Unlike the tech sectors, they haven't started redundancy yet..

[@MasterofPlay7]

Do u need a master degree?