How to Approach a Case Study Interview (Without Panicking)
There's no multiple choice. No hint button. No one is going to tell you where to start. Here's a repeatable 7-step system for any analytics case study.
7 min readFrameworks, strategies, and walkthroughs to help you ace your analytics case study interview.
A detailed breakdown of Airbnb's data science interview process — why the take-home challenge is central, how the onsite data task works, and what Airbnb's marketplace model means for your prep.
4 min readA detailed breakdown of Amazon's data science interview process — why Leadership Principles carry as much weight as technical skills, what the Bar Raiser is looking for, and how to prepare.
4 min readA detailed breakdown of Apple's data science interview process — why the onsite is longer than most, what the technical emphasis looks like, and how Apple's privacy-first culture shapes the evaluation.
5 min readA detailed breakdown of Coinbase's data science interview process — why the final presentation matters so much, what the technical rounds cover, and how crypto-native product thinking shapes the evaluation.
4 min readA detailed breakdown of Databricks' data science interview process — why the case study presentation matters, how the technical rounds differ from consumer tech, and what it means to interview at a data infrastructure company.
4 min readA detailed breakdown of DoorDash's data science interview process — how the three-sided marketplace shapes every round, and what you need to know to prepare.
4 min readA detailed breakdown of Google's data science interview process — how leveling shapes the evaluation, what the committee looks for, and why system design now matters for mid-to-senior roles.
6 min readA detailed breakdown of Lyft's data science interview process — why there are two distinct tracks, how the marketplace shapes every question, and what each round actually tests.
5 min readA detailed breakdown of Meta's data science interview process — what each round tests, how to prepare, and where most candidates fall short.
5 min readA detailed breakdown of Microsoft's data science interview process — how the breadth of the product portfolio shapes the evaluation, why take-homes are common, and what each round tests.
4 min readA detailed breakdown of Netflix's data science interview process — why the bar is set at senior, how the culture shapes what interviewers look for, and what the experimentation focus means for your prep.
5 min readA detailed breakdown of Reddit's data science interview process — why product sense dominates, what the technical screen covers, and how Reddit's community-driven model changes what interviewers look for.
5 min readA detailed breakdown of Roblox's data science interview process — how the platform's unique creator economy shapes the evaluation, and what each round covers.
4 min readA detailed breakdown of Salesforce's data science interview process — why the coding bar is unusually high for a DS role, what the hiring manager screen covers, and how enterprise context shapes the evaluation.
4 min readA detailed breakdown of Snap's data science interview process — what the technical rounds cover, how Snap's unique product shapes the evaluation, and why ambiguity tolerance matters.
4 min readA detailed breakdown of Spotify's data science interview process — how the onsite evaluates across technical, product, and cultural dimensions, and why cross-functional collaboration matters here.
4 min readA detailed breakdown of Stripe's data science interview process — why the take-home matters, how the hiring committee model works, and what it means to interview at a payments infrastructure company.
5 min readA detailed breakdown of TikTok's data science interview process — why the interview is product-first, what the technical screens cover, and how specialized teams change the format.
4 min readA detailed breakdown of Uber's data science interview process — why experimentation and causal inference dominate, and how to prepare for a marketplace that runs thousands of experiments at once.
5 min readA/B test results look great on the surface — but the interviewer wants to know if you can find what's hiding underneath. Here's how to systematically evaluate experiments and avoid the traps that catch most candidates.
8 min readIf ChatGPT can write a perfectly valid SQL query in seconds, what exactly are you bringing to the interview? Here's why the case study is the only round that matters now.
7 min readThe metric investigation is the most common case study in data science interviews. Here's how to systematically narrow the problem, avoid common traps, and deliver a strong conclusion.
8 min readNot all case studies are the same. Here are the six types you'll encounter — what each one tests, where candidates stumble, and which companies favor them.
7 min readA practical guide to power analysis for A/B tests — what it is, how to calculate sample sizes, how to choose your MDE, and the common mistakes that invalidate your experiment before it starts.
13 min readThe analytics case study is the single most important round in a data science interview — and it's the one candidates consistently underprepare for. Here's why it matters and how to fix it.
6 min read