Interview Experiences

Real candidates, real loops: every round, what was asked, and how it ended.

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49 stories

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MetaData Scientist
Jul 2026

Product Case on a Social Travel App, Then On to the Full Loop

A premium story — unlock it to read the full loop.

In progressTechnical ScreenPremium0
MetaData Scientist
Reported Jul 2026

Meta Data Scientist interview: timed SQL cases and A/B experiment design

After a recruiter and screening step, I faced a fast, high-pressure set of SQL and case tasks. The Python and SQL round covered SQL mechanics and quick reasoning, including common data structures, CASE statements, and window functions. The pace stood out because the window closed as soon as it was time for the case study, so accuracy and efficiency both mattered. The case work was more demanding…

Technical Screen0
MetaData Scientist
Reported Jun 2026

Meta Data Scientist interview: SQL, product sense, and the full loop

A recruiter contacted me first, and I then went through what felt like a standard path from screening to the loop. The initial technical screen covered SQL and product sense. The questions were very much about connecting data work to business decisions. A couple of weeks later, I moved into the full loop. That loop had four rounds: analytical execution, analytical reasoning, technical skills, and…

RejectedTechnical Screen0
MetaData Scientist
Mar 2026

Same Forum-Famous Questions, Completely Different Numbers

SQL: Active Ads AR: Ads algorithm AE: Fake account Behavioral: Breakthrough project, disagreeing with someone, reporting to someone new to the team, how to make others feel welcome These are all old questions from the forum — really grateful to everyone who shared before me. Though it might be because they're old questions, the interviewer had changed them. The SQL one especially — same framework…

In progressOnsite0
MetaData Scientist
Mar 2026

SQL, AE, AR, and BH Rounds, Still Waiting to Hear Back

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In progressOnsiteXP0
MetaData Scientist
Feb 2026

SQL, Fake Accounts, and an AI Ad-Creation Case Study in the Onsite

I just finished my virtual onsite a little while back. I ran into a few questions that other people have already posted about, but with slightly different follow-ups, so I wanted to share. SQL: active_ads. The interviewer was very organized and gave clear instructions. My second question was to find people whose total spend last year was over 1k, then look at what share of their spend this year t…

Onsite0
MetaData Scientist
Feb 2026

Old Forum Questions With the Details Changed

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OnsiteXP0
MetaData Scientist
Feb 2026

SQL and Product Questions Both Built Around Ads Pixel

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In progressTechnical ScreenXP0
MetaData Scientist
Feb 2026

Onsite Loop with SQL, Fake Accounts, and an AI Ad-Creation Metrics Question

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In progressOnsiteXP0
MetaData Scientist
Feb 2026

A VO with an AI Ad Creation Case Study

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OnsiteXP0
MetaData Scientist
Jan 2026

SQL and Product Questions Built Around Ads Pixel

I interviewed at Meta last Friday, and Monday evening I got an email from the recruiter saying I passed — coming back to report on this. Both the SQL and the product question were built around ads pixel, which I'd almost never seen in previous interview writeups before. There were two SQL questions total, both pretty simple. The first was a simple aggregation. The second asked about the relations…

In progressTechnical Screen0
MetaData Scientist
Dec 2025

SQL and Product Sense on a Group Call Feature

The interviewer was a very energetic and friendly woman, and everything she asked me was about group calls. The premise: Messenger has groups, but no group call feature. The first SQL question was pretty common, but the second one I'd never seen before. What percentage of today's active "gb" users had more than 50 call records in the previous 7 days (counting both calls made and calls received)?…

Technical Screen0
MetaData Scientist
Dec 2025

Onsite Loop With a Repeated Question and a Pushy Follow-Up Round

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OnsiteXP0
MetaData Scientist
Nov 2025

A Bizarre New AR Round on Hand-Waving Accuracy

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OnsiteXP0
MetaData Scientist
Oct 2025

AR, AE, SQL, and BQ Rounds

I interviewed for a Meta DSA onsite a while back and got the offer, so I want to write this down while I still remember it. My takeaway from the interview is that the real thing differs from interview reports in the details, so when you prepare you still need to keep your thinking flexible. Grasp the big picture, but don't just memorize answers. The interviewer wants a fairly quick response — bas…

OfferOnsite0
MetaData Scientist
Oct 2025

Four Onsite Rounds, One AR Question Asked Twice

Behavior round: challenging project, diversity, differences in working style, learning. The interviewer was really nice and easy to talk to. AR (Ad Recommendation) round: talking with the interviewer felt really comfortable, and they were very good at controlling the pace of the interview. SQL round: Active Ad Revenue based on different creation source. The question changed a little from what I w…

Onsite0
MetaData Scientist
Oct 2025

Bot-Detection Analytics, Shop-Visibility SQL, and a Rejection

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RejectedOnsiteXP0
MetaData Scientist
Oct 2025

Portal Segmentation Case and a Checked-Out Interviewer

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Technical ScreenXP0
MetaData Scientist
Oct 2025

SQL Then a Teen-Safety Product Question

In early May I got an interview invitation from HR, so I scheduled the phone screen for late May. After the interview started, we chatted for about 10 minutes, talking about why I wanted to join Facebook. Then the DS interviewing me asked whether I wanted to start with SQL or a product question. I picked SQL first, and we jumped straight into it: Table: Date, Timestamp, sender_id, receiver_id Thi…

Technical Screen0
MetaData Scientist
Oct 2025

Phone Screen Then a Four-Part Virtual Onsite (SQL, AE, BQ, AR)

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OnsiteXP0

What are interview experiences?

An interview experience is a candidate's own account of a hiring loop — not a question bank entry. It tells you the shape of the process: how many rounds there were, what each round actually tested, how long the gaps between them ran, and what the recruiter said at the end. That context is the part a question list cannot give you.

How to read them

Weight recent write-ups more heavily — interview loops change, often within a year. Read several for the same company and role rather than one: a single account tells you what one interviewer asked, while five tell you what the bar is. Note the outcome badge too, since a rejection write-up usually explains the gap far more precisely than an offer one.

Share your own

Every published experience earns 50 XP, and each of the first 3 likes it receives in a day earns you 10 XP more. Likes must come from established accounts; like-for-like swaps and likes from your own second account are not paid. Write it while the details are fresh — the round order, the exact prompts, and how much time you were given are what the next reader needs.

Share your experience to earn XP