I got an IC6 offer at Meta! Here's what the comp looks like, and a free SQL and Product Sense case interview

Hey folks,

If you’ve been following along on my job search journey (part 1, part 2), you’ll know that I got one offer and was waiting to hear back from two more companies. Well, I’m all done with the interview process so I thought I’d share a final update.

Offers:

• Meta: Staff Data Scientist, Product Analytics (IC6)
  • Total year 1 compensation: $481k
  • Base salary: $255k
  • Bonus: 20%
  • RSUs: $500k over 4 years ($125k/year)
  • Signing bonus: $50k
  • I was told that the max year 1 total compensation is $525k if the candidate has other strong offers
• Public SAAS Company: Senior Data Scientist
  • Total year 1 compensation: $315k
  • The way the salary and RSUs work at this company work is a little weird, so I’m not going to share the break down. No bonus or signing bonus

Rejected

• Private Fin-tech company

My decision

I declined the Meta offer and accepted the public SAAS company offer. The title is worse, and the compensation and earning potential is lower, but my hope is that the stress and work life balance will be much better. And if that turns out not to be true, the Meta offer is actually good for 1 year so I could switch relatively easily if I need to. I’m super grateful and thankful to have these opportunities, I know it’s a really tough outlook right now.

A free Meta SQL and product sense case study

I’ve already written about how to pass big tech interviews. But since I recently went through the Meta interview loop, I decided to put together a free SQL and Product Sense case interview. This is similar to what you would encounter in the tech screen at Meta. The sample answers are ones I wrote myself, as someone who received an IC6 offer.

Resources I found helpful for the Meta Interview

Stratascratch - Basically Leetcode for SQL - aim to solve in 4 minutes on easy, 5 minutes on medium, and 7 minutes for hard)

Data Science Preparation Handbook for Meta - This is an amazing free resource for the DS Product Analytics interview at Meta

Trustworthy Online Controlled Experiments - Great resource for learning about AB testing. This will cover 90% of what you need to know to pass AB testing interviews at tech companies for analytics roles

Actual Interview Questions (Meta) - This was probably the most helpful resource. It's not really a full interview guide, but it contained questions that tested very similar concepts to what I was asked in my interviews with Meta. I also realized I cannot post the link here or Reddit will remove it so DM me if interested.

AI - I plugged every question I found online that might be asked at Meta for Data Science roles into ChatGPT and asked it to come up with questions that tested similar concepts, for extra practice.

Anyways, thank you for following along on my job search journey. Best of luck to anyone who is job searching, feel free to leave a comment I you have questions regarding interviews for Data Scientist Analytics type positions at big tech companies.