What is the average salary for an Amazon Data Scientist? And, what does a top-of-band Data Scientist's compensation look like? You can find tons of different, conflicting information online. This article is designed to cut through the noise and help you better understand Amazon Data Scientist salaries — as well as other benefits like equity and bonus — and how compensation varies by level. There is also an extra section at the bottom with information on how to best negotiate Amazon Data Scientist offers.
2022 Top of Band Numbers (Seattle)
Base Salary
$185K
Equity (4 years)
$250K
Yr 1 Signing Bonus
$105K
Yr 2 Signing Bonus
$89K
2022 Top of Band Numbers (Seattle)
Base Salary
$230K
Equity (4 years)
$510K
Yr 1 Signing Bonus
$225K
Yr 2 Signing Bonus
$168K
2022 Seattle Top of Band Numbers (Seattle)
Base Salary
$285K
Equity (4 years)
$850K
Yr 1 Signing Bonus
$374K
Yr 2 Signing Bonus
$289K
So now you've got the comp data, are you ready to negotiate? Not quite.
So now you know the top-of-band numbers for Amazon Data Scientists - the negotiation should be a piece of cake, right? Not quite.
First off, comp data is constantly in flux due to changing industry. In 2022, Amazon increased its pay bands during the first half of the year but tightened the bands again partway through 2022 in light of the volatile market (specifically the willingness to go above the band). However - Amazon is still hiring and looking to fill many Data Scientist roles.
Amazon also eliminated its artificially low base salary caps, which has fundamentally altered the way they structure offers.
However, while having compensation data is an important aspect of negotiation, it’s often not enough. In 90% of situations, telling your Amazon recruiter that you read online that the top of the band is $X and that you want that number won't work. So then, what will?
Companies negotiate when they believe you won’t accept their offer. However, this is hard to convince a recruiter of when you’ve just finished a long and arduous interview process.
You must establish leverage and convince the recruiter that you are examining your options but would choose Amazon if the pay were equivalent / better.
Another example of creating leverage can be by building great internal relationships so that the hiring manager or recruiter feels more willing to increase your compensation to get you to sign. For example, we once worked with a professional who increased their signing bonus by $50K without leveraging other offers. They built a great relationship with the recruiter over the multi-month interview process and the recruiter went to bat for them to ensure they would join!
It’s also worth noting that Amazon has a lot of peculiar policies. For instance, though they don't explicitly state it, they factor in 15% stock appreciation. So, if you try to say that the offer feels low compared to others, they might say that it’s actually market because Amazon stock has historically appreciated over time.
L4
L5
L6 (Senior DS)
L7
L8 (DS Director)
L3
L4
L5
Between L6 and L7
L8
Amazon does not follow industry standards when it comes to levelling, though to be fair many companies take a unique approach. We'd recommend using Google levels as the benchmark. Other companies like Facebook, DoorDash, etc. use the Google system just with different names (e.g. IC5/L5/E5 are the same at those companies). Amazon inflates levels by +1 for more junior levels (e.g. Amazon L4 = Google L3, both are entry level positions). However, this trend breaks at Amazon L7, which is closer to Google L7 than Google L6 in terms of compensation and scope. The 3 other main levelling systems to be aware of are: 1) Microsoft where 65 = Amazon L6 2) Apple where ICT4 is in between Amazon L5 and L6 3) Stripe/Robinhood/etc. where L2/IC2 = Amazon L5.
Step 1 is defining the strategy, which often starts by helping you create leverage for your negotiation (e.g. setting up conversations with FAANG recruiters).
Step 2 we decide on anchor numbers and target numbers with the goal of securing a top of band offer, based on our internal verified data sets.
Step 3 we create custom scripts for each of your calls, practice multiple 1:1 mock negotiations, and join your recruiter calls to guide you via chat.